Monday, 18 November 2013

Data scraping tool for non-coding journalists launches

A tool which helps non-coding journalists scrape data from websites has launched in public beta today.

Import.io lets you extract data from any website into a spreadsheet simply by mousing over a few rows of information.

Until now import.io, which we reported on back in April, has been available in private developer preview and has been Windows only. It is now also available for Mac and is open to all.

Although import.io plans to charge for some services at a later date, there will always be a free option.

The London-based start-up is trying to solve the problem of the fact that there is "lots of data on the web, but it's difficult to get at", Andrew Fogg, founder of import.io, said in a webinar last week.

Those with the know-how can write a scraper or use an API to get at data, Fogg said. "But imagine if you could turn any website into a spreadsheet or API."

Uses for journalists

Journalists can find stories in data. For example, if I wanted to do a story on the type of journalism jobs being advertised and the salaries offered, I could research this by looking at various websites which advertise journalism jobs.

If I were to gather the data from four different jobs boards and enter the information manually into a spreadsheet it would take would take hours if not days; if I were to write a screen scraper for each of the sites it would require knowledge and would probably take a couple of hours. Using import.io I can create a single dataset from multiple sources in a few minutes.

I can then search and sort the dataset and find out different facts, such as how many unpaid internships are advertised, or how many editors are currently being sought.

How it works

When you download the import.io application you see a web browser. This browser allows you to enter a URL for any site you want to scrape data from.

To take the example of the jobs board, this is structured data, with the job role, description and salaries displayed.

The first step is to set up 'connectors' and to do this you need to teach the system where the data is on the page. This is done by hitting a 'record' button on the right of the browser window and mousing over a few examples, in this case advertised jobs. You then click 'train rows'.

It takes between two and five examples to teach import.io where all of the rows are, Fogg explained in the webinar.

The next step is to declare the type of data and add column names. For example there may be columns for 'job title', 'job description' and 'salary'. Data is then extracted into the table below the browser window.

Data from different websites can then be "mixed" into a single searchable database.

In the example used in the webinar, Fogg demonstrated how import.io could take data relating to rucksacks for sale on a shopping website. The tool can learn the "extraction pattern", Fogg explained, and apply that to to another product. So rather than mousing over the different rows of sleeping bags advertised, for example, import.io was automatically able to detect where the price and product details were on the page as it had learnt the structure from how the rucksacks were organised. The really smart bit is that the data from all products can then be automatically scraped and pulled into the spreadsheet. You can then search 'shoes' and find the data has already been pulled into your database.

When a site changes its code a screen scraper would become ineffective. Import.io has a "resilience to change", Fogg said. It runs tests twice a day and users get notified of any changes and can retrain a connector.

It is worth noting that a site that has been scraped will be able to detect that import.io has extracted the data as it will appear in the source site's web logs.

Case studies

A few organisations have already used import.io for data extraction. Fogg outlined three.

    British Red Cross

The British Red Cross wanted to create an iPhone app with data from the NHS Choices website. The NHS wanted the charity to use the data but the health site does not have an API.

By using import.io, data was scraped from the NHS site. The app is now in the iTunes store and users can use it to enter a postcode to find hospital information based on the data from the NHS site.

"It allowed them to build an API for a website where there wasn't one," Fogg said.

    Hewlett Packard

Fogg explained that Hewlett Packard wanted to monitor the prices of its laptops on retailers' websites.

They used import.io to scrape the data from the various sites and were able monitor the prices at which the laptops were being sold in real-time.

    Recruitment site

A US recruitment firm wanted to set up a system so that when any job vacancy appeared on a competitor's website, they could extract the details and push that into their Salesforce software. The initial solution was to write scrapers, Fogg said, but this was costly and in the end they gave up. Instead they used import.io to scrape the sites and collate the data.


Source: http://www.journalism.co.uk/news/data-scraping-tool-for-non-coding-journalists-launches/s2/a554002/

Tuesday, 12 November 2013

WP Web Scraper

An easy to implement professional web scraper for WordPress. This can be used to display realtime data from any websites directly into your posts, pages or sidebar. Use this to include realtime stock quotes, cricket or soccer scores or any other generic content. The scraper is an extension of WP_HTTP class for scraping and uses phpQuery or xpath for parsing HTML. Features include:

    Can be easily implemented using the button in the post / page editor.
    Configurable caching of scraped data. Cache timeout in minutes can be defined in minutes for every scrap.
    Configurable Useragent for your scraper can be set for every scrap.
    Scrap output can be displayed thru custom template tag, shortcode in page, post and sidebar (through a text widget).
    Other configurable settings like timeout, disabling shortcode etc.
    Error handling - Silent fail, error display, custom error message or display expired cache.
    Clear or replace a regex pattern from the scrap before output.
    Option to pass post arguments to a URL to be scraped.
    Dynamic conversion of scrap to specified character encoding (using incov) to scrap data from a site using different charset.
    Create scrap pages on the fly using dynamic generation of URLs to scrap or post arguments based on your page's get or post arguments.
    Callback function to parse the scraped data.

For demos and support, visit the WP Web Scraper project page. Comments appreciated.

Tags: curl, html, import, page, phpquery, Post, Realtime, sidebar, stock market, web scraping, xpath   



Source: http://wordpress.org/plugins/wp-web-scrapper/

Sunday, 10 November 2013

Simple method of Data Scrapping

There are so many tools available on the Internet are scraping data. With these tools, without stress, you can download a large amount of data. The last decade, the Internet revolution as an information center was the world. You can get any information on the Internet. However, if you want to work with specific information, you must find other sites. Download all the information on the website that interests you, then you must copy the information in the document header. Everything seems to work a bit "more difficult. With scraping tools, your time, save money and can reduce manual labor.

Tools for extracting Web data to extract data from HTML pages and Web sites to compare data. Each day, there are many sites are hosted on the Internet. You can not see all the sites the same day. These data mining tools, you can view all pages on the Internet. If you use a wide range of applications, the scraping tool is also useful for you.

Software tools for data retrieval for structured data that is used on the Internet. There are so many Internet search engines to help you find a site for a particular problem would be. Various sites, the data appears in different styles. The expert scraped help you compare the different sites and structures for recording updated data.

And the web crawler software tool is used to index the Web pages on the Internet, moving data to the Internet from your hard drive. With this work, you can surf the Internet much faster than they are connected. It is time to use the tip of the device is important if you try to download data from the Internet. It will take considerable time to download. However, the device with faster Internet rate. There you can download all the corporate data of the person is another tool called e-mail extractor. The tribute, you can easily target your e-mail client. Each time your product is able to send targeted advertisements to customers. The customer database to find the best equipment.

Scraping and data extraction can be used in any organization, corporation, or any company which is a data set targeted customer industry, company, or anything that is available on the net as some data, such as e-ID mail data, site name, search term or what is available on the web. In most cases, data scraping and data mining services, not a product of industry, are marketed and used for example to reach targeted customers as a marketing company, if company X, the city has a restaurant in California, the software relationship that the city's restaurants in California and use that information for marketing your product to market-type restaurant company can extract the data.

MLM and marketing network using data mining and data services to each potential customer for a new client by extracting the data, and call customer service, postcard, e-mail marketing, and thus produce large networks to send large groups of construction companies and their products.

However, there are tolls are scraping on the Internet. And some sites have reliable information about these tools. By paying a nominal amount to download these tools.


Source: http://goarticles.com/article/Simple-method-of-Data-Scrapping/4692026/

Thursday, 24 October 2013

Google scraper to download data from Google search pages

Web scraping involves extraction of data from websites and converting them to usable format. There are many web scraping tools designed specific purposes like white pages scraper, amazon scraper, email address scraper, customer contract scraper etc. Google scraper is one such web scraping application which is used to extract google search results. This application will gather useful information from search results of Google which can be helpful in preparation of prospective databases with potential customers, email lists, online price comparison, real estate data, job posting information and customer demographics. Many people nowadays use web scraping to minimize the effort involved in manual extraction of data from websites.

You can find the details of customers in particular locality be searching through the white pages of that region. Also, if you want to gather email address or phone numbers of customers, you can do that with email address extractor. Google scraper will be useful to scrape google results and store them in text file, Spread sheets or database. The data scraping is automated function done by software application to extract data from websites by simulation human exploration of web through scripts like Perl, Python, and JavaScript etc. The data scraping could be great tool for programmers and can have lot of value for the money.

Also data collected through web scraping tool is accurate and ensures faster results. You can use this to collect email address of potential customers for your email marketing campaign to promote your products. You can search for relevant information about customer products. If you want to download images of products you can just enter the relevant keyword and google scraper will automatically extract the data from you google images page. You can generate sales leads and expand your business by using scraping tools which can save lot of time and money.



Source: http://goarticles.com/article/Google-scraper-to-download-data-from-Google-search-pages/4254108/

Tuesday, 22 October 2013

Simple Answer to a Frequently Asked Question, ‘What Is Screen Scraping’?

Undoubtedly, data extraction today has become a laborious task and thus calls the demand for latest technology to accomplish the job. With the support of web screen scraping services, the job to drag out required data and information has become simple and easy. Now the questions arises âEUR~what is screen scrapingâEUR(TM)? Well, it is a specially designed program that has proved to be of great help for the purpose of extraction of data, images and heavy files as well. This software helps individuals to download the specific data in the desired format. This service is like a boon for many websites.

There lies a tough competition in the market today. Business entrepreneurs are trying hard to get beneficial outcome in their business growth. With the support and help of scraping services, business owners are extracting the information of many internet users in their website and this readily helps them to grow their business. One big advantage of this program is that it can develop tons of datas in less time. In business scenario, it is time that matters a lot. So, businesses today are making use of this service to get the data available in no time.

Benefits of Screen Scraping

Fast Scraping: One greatest advantage of using this software is that it saves your time and labor. It lessens the chances of making you wait for long hours to provide you data. Also, the quick scraping tools offer you latest data.

Presentable: Scraping programs also offers data in readable format which could be used in a hassle free manner. The service providers can provide data in database file or spreadsheet or any other format as desired by the user. Data which cannot be read is of no use. Presentation means a lot.

As screen scarping is a software, it is made. In its development involves a group of experts that possess great knowledge in the field. They are basically programmers who have gained great expertise in the domain and are efficient to load innumerable dataâEUR(TM)s from different websites in very little time.

Today, the market is swarming up with various service providers offering screen scraping services. Explore different websites and select one that excites you the most. Going online would not only save your time but also reduce the difficulty of going out in the sweltering sun. Get the details of the firm and contact their service providers to get the data extracted for your business. Furthermore, if you are concerned about the charges, do not worry as the facilities can be availed at realistic rates.

Henceforth, give your business a new turn with the best screen scraping service providers.



Source: http://goarticles.com/article/Simple-Answer-to-a-Frequently-Asked-Question-What-Is-Screen-Scraping/7872372/

Monday, 21 October 2013

Information About Craigslist Scraping Tools

Information is one amongst the foremost vital assets to a business.Whatever trade the business relies in, while not the crucialinformation that helps it to operate, it'll be left to die.However, you are doing not ought to hunt round the net or through pilesof resources so as to urge the data that you just would like. Instead,you can merely take the data that you just have already got and use itto your advantage.

With info being thus promptly accessible for big corporations, itmay be not possible to guess what precisely a corporation can would like this muchdata and data from. completely different jobs together with everything frommedical records analysis, to selling uses net hand tool technology inorder to compile info, analyze it and so use it for his or her ownpurposes.

Another reason that a corporation could utilize an internet hand tool is fordetection of changes. for instance, if you entered into a contract witha company to confirm that their net link stayed on your online page forsix months, they may use an internet hand tool to form certain that you just do notback out. this fashion they additionally don't ought to manually check yourwebsite a day to confirm that the link remains there. This savesthem from wasting their valuable labor prices.

Finally you'll be able to use an internet hand tool to urge all of the info concerning acompany that you just would like. whether or not you wish to seek out out what differentwebsites ar speech concerning your company, otherwise you merely need to seek out allof the data a few bound topic, employing a net hand tool is asimple, fast and simple answer.

There ar many various corporations that give you with the abilityto scrape the net for info. one amongst the businesses to lookat is Mozenda. Mozenda permits you to setup custom programs that scrapethe net for all differing types of knowledge, relying upon the exactneeds that your company has. Another net scraping company that ispopular is thirty Digits net Extractor. they assist you to extract theinformation that you just would like from a spread of internet sites and webapplications. you'll be able to use any type of alternative services to urge all ofyour information scraped from the online.

Web information scraping could be a growing business. There ar such a lot of industriesand businesses that use the data they get from net datascraping to accomplish quite bit. whether or not you would like to scrape information inorder to seek out personal info, past histories, compile databasesof factual info or another use it's terribly real and potential todo so! but, so as to use an internet hand tool effectively you mustmake certain to use a real company.

don't come with any company off thestreet, check that to visualize them against others within the trade. Ifworst involves worse, check drive many completely different corporations. Thenstick with the online hand tool that best meets your wants. check that thatyou let the online hand tool work for you, after all, the net is apowerful tool in your business!



Source: http://goarticles.com/article/Information-About-Craigslist-Scraping-Tools/7507586/

Thursday, 17 October 2013

Easy Answer To The Question, What Is Screen Scraping

What is screen scraping? First of all it isnâEUR(TM)t data mining. People take it for an advance from of data mining but in reality it is just opposite. It is a program that extracts more than simple data. It drags images and even large files from websites and this is what makes it different from simple data mining.

This program is used for different purposes like contact and address list extraction. Contact details of Internet users are beneficial for websites that approach customers for business. Instead of waiting for visitors to come and provide their contact details, website owners could get the contacts of a large number of Internet users. The process is simple and it takes shortest possible time to present the data in a desired format.

It is a program hence it is made. There are groups that have mastered the art of making software that could draw load of data from different websites. You need data; you could contact such a group and get a program made for you. It wonâEUR(TM)t cost you a fortune nor would you need waiting for long to get the program made. The moment you would forward your request; the programmers would start working on it.

What is screen scraping? This question could be better answered by the tasks it does. It is used for data extraction like extracting products from suppliers, pricing that competitor sites are using, monitoring social media and archiving online data to help make right choice. Simple data mining canâEUR(TM)t do this job and if you try, you would find that it is a time consuming and laborious job.

Greatest advantage of this program is that it produces required data within a short time. There is no data loss and also you get latest data. Is it possible with manual data mining? No and for this reason data mining couldnâEUR(TM)t be the answer of what is screen scraping? Online businesses run on data. They generate tons of data every day. This data could be scraped using a program and not mined manually.

What is screen scraping? It is a process of simplifying data extraction and also making a website more user-friendly. Filling web forms sometimes becomes a tedious affair and that is why a few visitors fill online forms. With perfect programming, a website could make its forms user-friendly and help visitors fill the data by clicking at the boxes.


Source: http://goarticles.com/article/Easy-Answer-To-The-Question-What-Is-Screen-Scraping/7715438/

Tuesday, 15 October 2013

The Manifold Advantages Of Investing In An Efficient Web Scraping Service

Bitrake is an extremely professional and effective online data mining service that would enable you to combine content from several webpages in a very quick and convenient method and deliver the content in any structure you may desire in the most accurate manner. Web scraping may be referred as web harvesting or data scraping a website and is the special method of extracting and assembling details from various websites with the help from web scraping tool along with web scrapping software. It is also connected to web indexing that indexes details on the online web scraper utilizing bot (web scrapping tool). The dissimilarity is that web scraping is actually focused on obtaining unstructured details from diverse resources into a planned arrangement that can be utilized and saved, for instance a database or worksheet. Frequent services that utilize online web scraper are price-comparison sites or diverse kinds of mash-up websites. The most fundamental method for obtaining details from diverse resources is individual copy-paste. Never web scraping theless, the objective with Bitrake is to create an effective software to the last element. Other methods comprise DOM parsing, upright aggregation platforms and even HTML parses. Web scraping might be in opposition to the conditions of usage of some sites. The enforceability of the terms is uncertain.

While complete replication of original content will in numerous cases is prohibited, in the United States, court ruled in Feist Publications v Rural Telephone Service that replication details is permissible. Bitrate service allows you to obtain specific details from the net without technical information; you just need to send the explanation of your explicit requirements by email and Bitrate will set everything up for you. The latest self-service is formatted through your preferred web browser and formation needs only necessary facts of either Ruby or Javascript. The main constituent of this web scraping tool is a thoughtfully made crawler that is very quick and simple to arrange. The web scraping software permits the users to identify domains, crawling tempo, filters and preparation making it extremely flexible. Every web page brought by the crawler is effectively processed by a draft that is accountable for extracting and arranging the essential content. Data scraping a website is configured with UI, and in the full-featured package this will be easily completed by Bitrake. However, Bitrake has two vital capabilities, which are:

- Data mining from sites to a planned custom-format (web scraping tool)

- Real-time assessment details on the internet.



Source: http://goarticles.com/article/The-Manifold-Advantages-Of-Investing-In-An-Efficient-Web-Scraping-Service/5509184/

Understanding Web Scraping

It is evident that the invention of the internet is one of the greatest inventions of life. This is so because it allows quick recovery of information from large databases. Though the internet has its own negative aspects, its advantages outweigh the demerits f using it. It is therefore the objective of every researcher to understand the concept of web scraping and learn the basics of collecting accurate data from the internet. The following are some of the skills researchers need to know and keep them abreast of:

Understanding File Extensions in Web Scraping

In web scraping the first step to know is file extensions. For instance a site ending with dot-com is either a sales or commercial site. With the involvement of sales activity in such a website, there is a possibility that the data contained therein is inaccurate. Sites that may be ending with dot-gov are sites owned by various governments. The information found on such websites is accurate since they are reviewed by professionals regularly. Sites ending with dot-org are sites owned by non-governmental organizations that are not after making profit. There is a greater probability that the information contained is not accurate. Sites ending with dot-edu are owned by educational institutions. The information found on such sites is sourced by professionals and is of high quality. In case you have no understanding concerning a particular website it is important that get more information from expert data mining services.

Search Engine Limitations in Web Scraping

After understanding the file extensions, the next step is to understand search engine limitations applied to web scraping. These include process such as file extension, filtering or any other parameters. The following are some of the restrictions that need to typed after your search term: for instance if you key in “finance” and then click “search” all sites will be listed from the dot-com directory that contain the word finance on its website. If you key in “finance site.gov,” of course with the quotation marks, only the government sites that have the word finance will be listed. The same applies to other sites with different file extensions.

Advanced Parameters in Web Scraping

When performing web scraping it is important to understand more skills beyond the file extension. Therefore there is a need to understand particular search terms. For instance if you key in “software company in India” without the quotation marks, the search engines will display thousands of websites having “software”, “company” and India in their search terms. If you key in “Software Company in India” with the quotation marks, the search engines will only display sites that contain the exact phrase “software company in India” within their text.

This article forms the basis of web scraping. Collection of data needs to be carried out by experts and high quality tools. This is to ensure that the quality and accuracy of the data scraped is of high standards. The information extracted from that data has wide applications in business operations including decision making and predictive analytics.


Source: http://goarticles.com/article/Understanding-Web-Scraping/6771732/

Friday, 11 October 2013

A Solution to Mobile Phone Data Issues

One subject of mobile phone ownership that cocmes up time after time is data usage. Data usage can be a controversial area for both the consumer and the mobile network but with a little help there is a solution. The networks continually don’t help themselves, they have a poor track record when monitoring and reporting data usage back to the end user. We see many times that the billing provided can be misleading or altogether inept for the purpose of monitoring the spend. With some networks the information is hidden within a very complex report or the usage is only recorded when the data bundle is exceeded. Once exceeded the cost becomes disproportionate to going over the bundled minutes so regularly we have seen bills of £300 and above for a one month overage on data.

This can be where the problems really begin as you are now in the situation of knowing there is something wrong, the bill doesn’t help so you call the network. At this point you will more than likely get the stock answer as to why the problem has occurred which is ‘we don’t know’. They don’t know because when data is consumed the network record the information as usage by volume of consumption and not what the data has been used for. So imagine how you would feel if you had a £300 overage in a month and the networks were unable to shed any light on it, this happens all the time.

What we need to do is understand how much data we need then ensure we put measures in to assess the usage. Smartphone’s consume data as a natural process continually updating the apps and operating systems. In fact they consume so much data that even if you don’t pick the phone up and leave it switched on it will consume on average 200MB per month. This is the point where the networks and re-sellers start to cause issues as they can often sell Smartphone packages with data bundles less than 200MB. Obviously the consumer then gets hit with a costly and unnecessary bill all within the first month of owning their new mobile phone. To prevent this you have to choose a bundle somewhere around the 500MB mark to allow for generic browsing and updates. You can still exceed this if choosing to download continually so there has to be an element of management by the user.

The first point to make is that a Smartphone will use data direct from the mobile network which eats into you data bundle and also over Wi-Fi. Wi-Fi usage does not cost the Smartphone airtime account so if you set the Smartphone to automatically select known Wi-Fi points when in range you will dramatically change the bundled data usage. It should become a habit that Wi-Fi is used to download anything out of the ordinary leaving plenty of the network bundle left for generic updates.

To help further there is an App called 3G watchdog that will help to manage the volumes used. Download this app from the App markets and install on the handset. There are many bespoke setting for the software so take your time to understand how it all works. What the correct setting will give is a measure at any point in the month of how many MB’s used either by Wi-Fi or 3g. Having the information then lets you adjust your usage or split in usage accordingly making you more aware of reaching the limit. The app will project forward your present use and tell you how many MBS will be used by the time your month end arrives.

It also has a shutdown system just in case you experience a virus or background app consuming data without your knowledge. Once again all you need to do is adjust the setting and tell the software to either alert you or shut down the data when a user defined percentage of data is achieved. This is a very key part to not exceeding the data bundle as in most overage cases a data heavy application is running in the background of the phone without the user’s knowledge. This simple feature on 3G watchdog will ensure that even if that happens the data will deactivate automatically and there is no affect on the billing.


Source: http://goarticles.com/article/A-Solution-to-Mobile-Phone-Data-Issues/6708243/

Thursday, 10 October 2013

Web Scraping and Financial Matters

Many marketers value the process of harvesting data on the financial sector. They are also conversant with the challenges concerning the collection and processing of the data. Web scraping techniques and technologies are used for tracking and recognizing patterns that are found within the data. This is quite useful to businesses as it shifts through the layers of data, remove unrelated data and only leave the data that has meaningful relationships. This enables companies anticipate rather than just reacting to the customer and financial needs. Web scraping in combination with other complementary technologies and sound business processes, it can be used in reinforcing and redefining financial analysis.

Objectives of web scraping

The following are some of the web scraping services objectives that are covered in this article:

1. Discus show the customization of data and data mining tools may be developed for financial data analysis.

2. What is the usage pattern, in terms of purpose and the categories for the need for financial analysis?

3. Is the development of a tool for financial analysis through web scraping techniques possible?

Web scraping can be regarded as the procedure of extracting or harvesting knowledge for the large quantities of data. It is also known as Knowledge Discovery in Database (KDD). This implies that web scraping involves data collection, data management, database creation and the analysis of data and its understanding.

The following are some of the steps that are involved in web scraping service:

1. Data cleaning. This is the process of removing nose and the inconsistent data. This process is important as it only ensures that only important data should be integrated. This process saves time that will be consumed in the next processes.

2. Data integration. This is the processes of combining multiple sources of information. This process is quite important as it ensure that there is sufficient data for selection purposes.

3. Data selection. This is retrieving of data from databases that are relevant from the data in question.

4. Data transformation. It is the process of consolidating or transforming data into forms, which are appropriate for scraping by performing aggregation operations and summary.
5. Data mining. This is the process where intelligent methods are used in extracting data patterns.

6. Pattern evaluation. It is the identification of the patterns that are quite interesting and ones that represent knowledge and the interesting measures.

7. Knowledge presentation. It is the process where knowledge representation techniques and visualization are used in representing extracted data to the user.

Data Warehouse

Data warehouse may be defined as a store where information that has been mined from different sources, and stored under a unified schema and it resides at a single site.

Majority of banks and financial institutions offer a wide variety of baking services that include checking account balances, savings, customer and business transactions. Other services that may be offered by such companies include investment and credit services. Stock and insurance services may also be offered.

Through web scraping services it is possible for companies to gather data from financial and banking sectors, which may be relatively reliable, high quality and complete. Such data is quite important is it facilitates the analysis and the decision making of a company.



Source: http://goarticles.com/article/Web-Scraping-and-Financial-Matters/6771760/

Wednesday, 9 October 2013

Data Extraction,Web Screen Scraping Tool,Mozenda Scraper

Web Scraping

Web scraping, also known as Web data extraction or Web harvesting, is a software method of extracting data from websites. Web scraping is closely related and similar to Web indexing, which indexes Web content. Web indexing is the method used by most search engines. The difference with Web scraping is that it focuses more on the translation of unstructured content on the Web, characteristically in rich text format like that of HTML, into controlled data that can be analyzed stored and in a spreadsheet or database. Web scraping also makes Web browsing more efficient and productive for users. For example, Web scraping automates weather data monitoring, online price comparison, and website change recognition and data integration.

This clever method that uses specially coded software programs is also used by public agencies. Government operations and Law enforcement authorities use data scrape methods to develop information files useful against crime and evaluation of criminal behaviors. Medical industry researchers get the benefit and use of Web scraping to gather up data and analyze statistics concerning diseases such as AIDS and the most recent strain of influenza like the recent swine flu H1N1 epidemic.

Data scraping is an automatic task performed by a software program that extracts data output from another program, one that is more individual friendly. Data scraping is a helpful device for programmers who have to generate a line through a legacy system when it is no longer reachable with up to date hardware. The data generated with the use of data scraping takes information from something that was planned for use by an end user.

One of the top providers of Web scraping software, Mozenda, is a Software as a Service company that provides many kinds of users the ability to affordably and simply extract and administer web data. Using Mozenda, individuals will be able to set up agents that regularly extract data then store this data and finally publish the data to numerous locations. Once data is in the Mozenda system, individuals may format and repurpose data and use it in other applications or just use it as intelligence. All data in the Mozenda system is safe and sound and is hosted in a class A data warehouses and may be accessed by users over the internet safely through the Mozenda Web Console.

One other comparative software is called the Djuggler. The Djuggler is used for creating web scrapers and harvesting competitive intelligence and marketing data sought out on the web. With Dijuggles, scripts from a Web scraper may be stored in a format ready for quick use. The adaptable actions supported by the Djuggler software allows for data extraction from all kinds of webpages including dynamic AJAX, pages tucked behind a login, complicated unstructured HTML pages, and much more. This software can also export the information to a variety of formats including Excel and other database programs.

Web scraping software is a ground-breaking device that makes gathering a large amount of information fairly trouble free. The program has many implications for any person or companies who have the need to search for comparable information from a variety of places on the web and place the data into a usable context. This method of finding widespread data in a short amount of time is relatively easy and very cost effective. Web scraping software is used every day for business applications, in the medical industry, for meteorology purposes, law enforcement, and government agencies.


Source: http://goarticles.com/article/Data-Extraction-Web-Screen-Scraping-Tool-Mozenda-Scraper/3635541/

Sunday, 6 October 2013

Challenges in Effective Web Data Mining

Data collection and web data mining are critical processes for many companies and the marketing companies today. The techniques usually used include search engines,

topic-based searches and directories. Web data mining is necessary for any business that wants to create data warehouses by harvesting data from the internet. This is so

because high-quality and intelligent information may not be harvested from the internet easily. Such information is critical as it enables you to get desired results and the

business intelligence in demand.
Keyword-based searches are important in marketing of company products. They are usually affected by the following factors:
• Irrelevant pages. The use of common and general keywords on the search engines yields millions of web pages. Some of thesepages may be irrelevant and may not be of help

to the user.
• Ambiguous results.This is usually caused by multi-variant or similar keyword semantics. A name would be an animal, movie or even a sport accessory. This results in web

pages that are different what you are actually searching for.
• Possibility of missing some web pages.There is a great possibility of missing the most relevant information that is contained on web pages that are not indexed on a given

keyword.
One of the factors that prohibit the usage of web data mining is the effectiveness of search engine crawlers. This is widely evidenced by lack of access of the entire web due to

search engine crawlers and bot.This can be attributed partly tobandwidth limitations. It is important to understand that there are thousands of databases on the internet that can

deliver well-maintained information, high quality and are not easily accessed by crawlers.
In web data mining it is important to understand that majority of search engines have limited choices or alternatives for keyword query combination. For instance, yahoo and

Google offer option like phrase and even the exact matches that may limit even the search results. It is usually demands more efforts and even time and thereby get the most

important and relevant information.The human behavior and the alternatives usually change of time.This therefore implies that web pages need to be updated frequently and

there by reflect on the emerging trends. It is important to realize that there is a limited space for web data mining. This is so because the information that currently exists is

heavily relied on keyword-based indices. This does not apply for the real data.
It is important to realize that web data mining is an important tool for any business. It is therefore important to embrace this technology to solve data crisis problems. There are

several limitations and many challenges which may have resulted in the quest of effectively and efficiently in rediscovering the use of web resources. However, irrespective of the

challenges of web data mining, this technology is an effective tool that can be employed in many technological and scientific fields. It is therefore paramount to embrace this

technology and use it fully in order to realize your corporate goals.


Source: http://goarticles.com/article/Challenges-in-Effective-Web-Data-Mining/6771744/

Saturday, 5 October 2013

Data Mining With a Web Screen Scraping Software

Data collection from websites is a time consuming job hence you need a dedicated team to collect online data. Or you need a web screen scraping program that could download the required data in a suitable format. Choose software instead of relying on data mining team. The software could make your job a lot easier.

Advantages of using software

ItâEUR(TM)s time saving. You could complete a project in as little as one hour, if itâEUR(TM)s a short project like collecting contact details of targeted audiences from certain websites. Another advantage of this software is that it would free your data mining team from the tedious job. In this way, you would be able to utilize that team in other productive projects. In other words, using the software would improve your teamâEUR(TM)s productivity.

The software would arrange the data in the format that is suitable for you. For instance you could get Vcard details in spreadsheet and save the file for future use. Similarly you could get the data in the format suitable for market research, price comparison and business intelligence. The software would take care that you get the information in the format that is readable, understandable and convenient for you.

It would give you latest and authentic data. You could make mistakes in downloading the data like missing important information but there is no such apprehension with software. It would provide you information just like itâEUR(TM)s available on the web.

The software would be programmed to suit to your needs. It would be dedicated for your projects only. Since it would be coded for you, you could improve its functionality and usability as and required. For instance you could use the program to help your visitors fill forms. There could be more uses of the program.

For web screen scraping program, you could contact a reliable service provider. Since there are many groups that provide content scraping service, you could shop around to locate the most reliable service provider. You would be charged a price for the service but you could find most affordable service so that you donâEUR(TM)t feel pressure on your pocket.

If you need web content and you mine data manually then you should consider using web screen scraping service. You could get the data you need by paying a small amount. The software would provide you latest data that you could rely upon.


Source: http://goarticles.com/article/Data-Mining-With-a-Web-Screen-Scraping-Software/7761459/

Thursday, 3 October 2013

Web Screen Scrape: Quick and Affordable Data Mining Service

Getting contact details of people living in a certain area or practicing a certain profession isnâEUR(TM)t a difficult job as you could get the data from websites. You can even get the data in short time so that you could take advantage of it. Web screen scrape service could make data mining a breeze for you.

Extracting data from websites is a tedious job but there isnâEUR(TM)t any need to mine the data manually as you could get it electronically. The data could be extracted from websites and presented in a readable format like spreadsheet and data file that you could store for future use. The data would be accurate and since you would get the data in short time, you could rely on the information. If your business relies on the data then you should consider using this service.

How much this data extraction service would cost? It wonâEUR(TM)t cost a fortune. It isnâEUR(TM)t expensive. Service charge is determined on the number of hours put in data mining. You can locate a service provider and ask him to give quote for his services. If youâEUR(TM)re satisfied with the service and the charge, you could assign the data mining work to the person.

ThereâEUR(TM)s hardly any business that doesnâEUR(TM)t need data. For instance some businesses look for competitor pricing to set their price index. These companies employ a team for data mining. Similarly you can find businesses downloading online directories to get contact details of their targeted customers. Employing people for data mining is a convenient way to get online data but the process is lengthy and frustrating. On the other hand, service is quick and affordable.

You need specific data; you can get it without spending countless hours in downloading data from websites. All you need to do to get the data is contact a credible web screen scrape service provider and assign the data mining job to him. The service provider would present the data in the desired format and in the expected time. As far as budget of the project is concerned, you can negotiate the price with the service provider.

Web screen scrape service is a boon for websites. This service is quite beneficial for websites that rely on data like tour and travel, marketing and PR companies. If you need online data then you should consider hiring this service instead of wasting time on data mining.



Source: http://goarticles.com/article/Web-Screen-Scrape-Quick-and-Affordable-Data-Mining-Service/7783303/

Wednesday, 2 October 2013

Why to Go With a Web Screen Scraping Program?

There is a tough competition in the market, nowadays. Business owners are trying to get the best and beneficial result in their business growth. At present, there are different kinds of businesses available online. With the support of their specific websites, business owners are promoting their products as well as services online. Currently, most of the people are internet users and in order to get their contact details, websites owners are availing the benefits of software that can help them to get the desired data in a very short time. Websites are now extracting relevant data of internet users with the support of web screen scraping software, these days. Undoubtedly, data collection from websites is a time consuming and laborious job and thus one need to have a dedicated team to do so. However today, with the support of website screen scraping program, it has become so easy to extract required data from websites as it was never before.

Screen scraping is really a beneficial program that can help people to download the desired data in an appropriate format. Therefore, it would be great for people to select a screen scraping program instead of going with data mining team. There is no denying to this fact that this software would make your job much easier than before. There are a number of benefits of using this software for the people in different ways. First of all, this program enables you to save lots of your precious time and to get your particular project done in a very short time. If there is need to collect contact details of targeted audiences from some specific websites then it can easily be done with the support of this program.

The best thing about this software is that it would help your data mining team to get rid of the tedious job of data mining from different websites. software will not only make your data mining team free from the tedious job but also make you able to utilize them in some other productive projects of your company. With the support of this software, you will surely experience great improvement in your teamâEUR(TM)s productivity. This program will surely make you able to get the data in the same format you are looking for. It will allow you to get the required data in suitable format. So, what are you waiting for? Leave all your data extracting problems on this software and enjoy its benefits!



Source: http://goarticles.com/article/Why-to-Go-With-a-Web-Screen-Scraping-Program/7803789/

Friday, 27 September 2013

Visual Web Ripper: Using External Input Data Sources

Sometimes it is necessary to use external data sources to provide parameters for the scraping process. For example, you have a database with a bunch of ASINs and you need to scrape all product information for each one of them. As far as Visual Web Ripper is concerned, an input data source can be used to provide a list of input values to a data extraction project. A data extraction project will be run once for each row of input values.

An input data source is normally used in one of these scenarios:

    To provide a list of input values for a web form
    To provide a list of start URLs
    To provide input values for Fixed Value elements
    To provide input values for scripts

Visual Web Ripper supports the following input data sources:

    SQL Server Database
    MySQL Database
    OleDB Database
    CSV File
    Script (A script can be used to provide data from almost any data source)

To see it in action you can download a sample project that uses an input CSV file with Amazon ASIN codes to generate Amazon start URLs and extract some product data. Place both the project file and the input CSV file in the default Visual Web Ripper project folder (My Documents\Visual Web Ripper\Projects).

For further information please look at the manual topic, explaining how to use an input data source to generate start URLs.


Source: http://extract-web-data.com/visual-web-ripper-using-external-input-data-sources/

Thursday, 26 September 2013

Using External Input Data in Off-the-shelf Web Scrapers

There is a question I’ve wanted to shed some light upon for a long time already: “What if I need to scrape several URL’s based on data in some external database?“.

For example, recently one of our visitors asked a very good question (thanks, Ed):

    “I have a large list of amazon.com asin. I would like to scrape 10 or so fields for each asin. Is there any web scraping software available that can read each asin from a database and form the destination url to be scraped like http://www.amazon.com/gp/product/{asin} and scrape the data?”

This question impelled me to investigate this matter. I contacted several web scraper developers, and they kindly provided me with detailed answers that allowed me to bring the following summary to your attention:
Visual Web Ripper

An input data source can be used to provide a list of input values to a data extraction project. A data extraction project will be run once for each row of input values. You can find the additional information here.
Web Content Extractor

You can use the -at”filename” command line option to add new URLs from TXT or CSV file:

    WCExtractor.exe projectfile -at”filename” -s

projectfile: the file name of the project (*.wcepr) to open.
filename – the file name of the CSV or TXT file that contains URLs separated by newlines.
-s – starts the extraction process

You can find some options and examples here.
Mozenda

Since Mozenda is cloud-based, the external data needs to be loaded up into the user’s Mozenda account. That data can then be easily used as part of the data extracting process. You can construct URLs, search for strings that match your inputs, or carry through several data fields from an input collection and add data to it as part of your output. The easiest way to get input data from an external source is to use the API to populate data into a Mozenda collection (in the user’s account). You can also input data in the Mozenda web console by importing a .csv file or importing one through our agent building tool.

Once the data is loaded into the cloud, you simply initiate building a Mozenda web agent and refer to that Data list. By using the Load page action and the variable from the inputs, you can construct a URL like http://www.amazon.com/gp/product/%asin%.
Helium Scraper

Here is a video showing how to do this with Helium Scraper:


The video shows how to use the input data as URLs and as search terms. There are many other ways you could use this data, way too many to fit in a video. Also, if you know SQL, you could run a query to get the data directly from an external MS Access database like
SELECT * FROM [MyTable] IN "C:\MyDatabase.mdb"

Note that the database needs to be a “.mdb” file.
WebSundew Data Extractor
Basically this allows using input data from external data sources. This may be CSV, Excel file or a Database (MySQL, MSSQL, etc). Here you can see how to do this in the case of an external file, but you can do it with a database in a similar way (you just need to write an SQL script that returns the necessary data).
In addition to passing URLs from the external sources you can pass other input parameters as well (input fields, for example).
Screen Scraper

Screen Scraper is really designed to be interoperable with all sorts of databases. We have composed a separate article where you can find a tutorial and a sample project about scraping Amazon products based on a list of their ASINs.


Source: http://extract-web-data.com/using-external-input-data-in-off-the-shelf-web-scrapers/

Tuesday, 24 September 2013

Selenium IDE and Web Scraping

Selenium is a browser automation framework that includes IDE, Remote Control server and bindings of various flavors including Java, .Net, Ruby, Python and other. In this post we touch on the basic structure of the framework and its application to  Web Scraping.
What is Selenium IDE


Selenium IDE is an integrated development environment for Selenium scripts. It is implemented as a Firefox plugin, and it allows recording browsers’ interactions in order to edit them. This works well for software tests, composing and debugging. The Selenium Remote Control is a server specific for a particular environment; it causes custom scripts to be implemented for controlled browsers. Selenium deploys on Windows, Linux, and iOS. How various Selenium components are supported with major browsers read here.
What does Selenium do and Web Scraping

Basically Selenium automates browsers. This ability is no doubt to be applied to web scraping. Since browsers (and Selenium) support JavaScript, jQuery and other methods working with dynamic content why not use this mix for benefit in web scraping, rather than to try to catch Ajax events with plain code? The second reason for this kind of scrape automation is browser-fasion data access (though today this is emulated with most libraries).

Yes, Selenium works to automate browsers, but how to control Selenium from a custom script to automate a browser for web scraping? There are Selenium PHP and other language libraries (bindings) providing for scripts to call and use Selenium. It is possible to write Selenium clients (using the libraries) in almost any language we prefer, for example Perl, Python, Java, PHP etc. Those libraries (API), along with a server, the Java written server that invokes browsers for actions, constitute the Selenum RC (Remote Control). Remote Control automatically loads the Selenium Core into the browser to control it. For more details in Selenium components refer to here.


A tough scrape task for programmer

“…cURL is good, but it is very basic.  I need to handle everything manually; I am creating HTTP requests by hand.
This gets difficult – I need to do a lot of work to make sure that the requests that I send are exactly the same as the requests that a browser would
send, both for my sake and for the website’s sake. (For my sake
because I want to get the right data, and for the website’s sake
because I don’t want to cause error messages or other problems on their site because I sent a bad request that messed with their web application).  And if there is any important javascript, I need to imitate it with PHP.
It would be a great benefit to me to be able to control a browser like Firefox with my code. It would solve all my problems regarding the emulation of a real browser…
it seems that Selenium will allow me to do this…” -Ryan S

Yes, that’s what we will consider below.
Scrape with Selenium

In order to create scripts that interact with the Selenium Server (Selenium RC, Selenium Remote Webdriver) or create local Selenium WebDriver script, there is the need to make use of language-specific client drivers (also called Formatters, they are included in the selenium-ide-1.10.0.xpi package). The Selenium servers, drivers and bindings are available at Selenium download page.
The basic recipe for scrape with Selenium:

    Use Chrome or Firefox browsers
    Get Firebug or Chrome Dev Tools (Cntl+Shift+I) in action.
    Install requirements (Remote control or WebDriver, libraries and other)
    Selenium IDE : Record a ‘test’ run thru a site, adding some assertions.
    Export as a Python (other language) script.
    Edit it (loops, data extraction, db input/output)
    Run script for the Remote Control

The short intro Slides for the scraping of tough websites with Python & Selenium are here (as Google Docs slides) and here (Slide Share).
Selenium components for Firefox installation guide

For how to install the Selenium IDE to Firefox see  here starting at slide 21. The Selenium Core and Remote Control installation instructions are there too.
Extracting for dynamic content using jQuery/JavaScript with Selenium

One programmer is doing a similar thing …

1. launch a selenium RC (remote control) server
2. load a page
3. inject the jQuery script
4. select the interested contents using jQuery/JavaScript
5. send back to the PHP client using JSON.

He particularly finds it quite easy and convenient to use jQuery for
screen scraping, rather than using PHP/XPath.
Conclusion

The Selenium IDE is the popular tool for browser automation, mostly for its software testing application, yet also in that Web Scraping techniques for tough dynamic websites may be implemented with IDE along with the Selenium Remote Control server. These are the basic steps for it:

    Record the ‘test‘ browser behavior in IDE and export it as the custom programming language script
    Formatted language script runs on the Remote Control server that forces browser to send HTTP requests and then script catches the Ajax powered responses to extract content.

Selenium based Web Scraping is an easy task for small scale projects, but it consumes a lot of memory resources, since for each request it will launch a new browser instance.



Source: http://extract-web-data.com/selenium-ide-and-web-scraping/

Data Entry Services For the Dynamic Webmaster

Data Entry Services is a fast growing industry. The universe of business is dynamic, fast paced, and in continual flux. In such an atmosphere the accessibility of precise, comprehensive information is a necessity. It is irrelevant whether you are a small business or a rambling universal empire, as information is an advantage in any set-up. The further you identify about the market, your consumers or trade, and other factors that power a corporation, the superior you can understand your own business.

There is typically an awe-inspiring quantity of DE required in accordance to development. In addition, DE services are also a requirement in this age of information, as information is vital in any organization. The need for data entry services is at a climax now as there are quite a lot of processes and confrontations present in any business today - these challenges include amalgamations, acquisitions, and new technological development.

The ease of access, value and assortment of information that an institute has at its removal are becoming gradually more imperative to consumers. Few of the examples of DE services are: data entry from manufactured goods catalogs to website based systems; data entry from hard/soft copy to any database layout; insurance claims entry; PDF document indexing; online data capture; data input from images; online order input and tracking; creation of novel databases; and postings to accessible databases for financing institutions, airlines, government bureau's, uninterrupted marketing services and service contributors; Web-based indexed documents retrieval services; help and assistance; mailing lists; data mining and warehousing; information cleansing; audio transcriptions; officially permitted documents; indexing of checks and documents; hand written card entry; online completion of surveys and reactions of consumers for an assortment of clients, at call centers and so on. The list is perceptibly never ending. A further attribute of the popular data entry services which can be carried out from a home office is entries for accounting or bookkeeping businesses.




Source: http://ezinearticles.com/?Data-Entry-Services-For-the-Dynamic-Webmaster&id=3733360

Monday, 23 September 2013

Data Mining Process - Why Outsource Data Mining Service?

Overview of Data Mining and Process:
Data mining is one of the unique techniques for investigating information to extract certain data patterns and decide to outcome of existing requirements. Data mining is widely use in client research, services analysis, market research and so on. It is totally based on mathematical algorithm and analytical skills to drive the desired results from the huge database collection.

Information mining is mostly used by financial analyzer, business and professional organization and also there are many growing area of business that are get maximum advantages of data extract with use of data warehouses in their small to large level of businesses.

Most of functionalities which are used in information collecting process define as under:

* Retrieving Data

* Analyzing Data

* Extracting Data

* Transforming Data

* Loading Data

* Managing Databases

Most of small, medium and large levels of businesses are collect huge amount of data or information for analysis and research to develop business. Such kind of large amount will help and makes it much important whenever information or data required.

Why Outsource Data Online Mining Service?

Outsourcing advantages of data mining services:
o Almost save 60% operating cost
o High quality analysis processes ensuring accuracy levels of almost 99.98%
o Guaranteed risk free outsourcing experience ensured by inflexible information security policies and practices
o Get your project done within a quick turnaround time
o You can measure highly skilled and expertise by taking benefits of Free Trial Program.
o Get the gathered information presented in a simple and easy to access format

Thus, data or information mining is very important part of the web research services and it is most useful process. By outsource data extraction and mining service; you can concentrate on your co relative business and growing fast as you desire.

Outsourcing web research is trusted and well known Internet Market research organization having years of experience in BPO (business process outsourcing) field.

If you want to more information about data mining services and related web research services, then contact us.





Source: http://ezinearticles.com/?Data-Mining-Process---Why-Outsource-Data-Mining-Service?&id=3789102

Friday, 20 September 2013

Database Mining

The term database mining refers to the process of extracting information from a set database and transforming that into understandable information. The data mining process is also known as data dredging or data snooping. The consumer focused companies into retail, financial, communication, and marketing fields are using data mining for cost reduction and increase revenues. This process is the powerful technology, which helps the organisations to focus on the most important and relevant information from their collected data. Organisations can easily understand the potential customers and their behaviour with this process. By predicting behaviours of future trends the recruitment process outsourcing firms assists the multiple organisations to make proactive and profitable decisions in their business. The database mining term is originated from the similarities between searching for valuable information in large databases and mining a mountain for a vein of valuable crystal.

Recruitment process outsourcing firm helps the organisation for the betterment of their future by analyzing the data from distinctive dimensions or angles. From the business point of view, the data mining and data entry services leads the organisation to increase their profitability and customer demands. Data mining process is must for every organisation to survive in the competitive market and quality assurance. Now a day the data mining services are actively utilised and adapted by many organisations to achieve great success and analyse competitor growth, profit analysis, budget, and sales etc. The data mining is a form of artificial intelligence that uses the automated process to find required information. You can easily and swiftly plan your business strategy for the future by finding and collecting the equivalent information from huge data.

With the advanced analytics and modern techniques, the database mining process uncovers the in-depth business intelligence. You can ask for the certain information and let this process provide you information, which can lead to an immense improvement in your business and quality. Every organisation holds a huge amount of data in their database. Due to rapid computerisation of business, the large amount of data gets produced by every organisation and then database mining comes in the picture. When there are problems arising and challenges addressing in the database management of your organisation, the fundamental usage of data mining will help you out with maximum returns. Thus, from the strategic point of view, the rapidly growing world of digital data will depend on the ability of mining and managing the data.

Minakshi Zala works as a CV Writer for CV 24-7, apart from providing professional CV writing services, we are one of the leading a Recruitment Process Outsourcing company into resume sourcing, resume searching, database cleansing, and database management.




Source: http://ezinearticles.com/?Database-Mining&id=7292341

Thursday, 19 September 2013

Internet Data Mining - How Does it Help Businesses?

Internet has become an indispensable medium for people to conduct different types of businesses and transactions too. This has given rise to the employment of different internet data mining tools and strategies so that they could better their main purpose of existence on the internet platform and also increase their customer base manifold.

Internet data-mining encompasses various processes of collecting and summarizing different data from various websites or webpage contents or make use of different login procedures so that they could identify various patterns. With the help of internet data-mining it becomes extremely easy to spot a potential competitor, pep up the customer support service on the website and make it more customers oriented.

There are different types of internet data_mining techniques which include content, usage and structure mining. Content mining focuses more on the subject matter that is present on a website which includes the video, audio, images and text. Usage mining focuses on a process where the servers report the aspects accessed by users through the server access logs. This data helps in creating an effective and an efficient website structure. Structure mining focuses on the nature of connection of the websites. This is effective in finding out the similarities between various websites.

Also known as web data_mining, with the aid of the tools and the techniques, one can predict the potential growth in a selective market regarding a specific product. Data gathering has never been so easy and one could make use of a variety of tools to gather data and that too in simpler methods. With the help of the data mining tools, screen scraping, web harvesting and web crawling have become very easy and requisite data can be put readily into a usable style and format. Gathering data from anywhere in the web has become as simple as saying 1-2-3. Internet data-mining tools therefore are effective predictors of the future trends that the business might take.

If you are interested to know something more on Web Data Mining and other details, you are welcome to the Screen Scraping Technology site.




Source: http://ezinearticles.com/?Internet-Data-Mining---How-Does-it-Help-Businesses?&id=3860679

Tuesday, 17 September 2013

Data Mining - Retrieving Information From Data

Data mining definition is the process of retrieving information from data. It has become very important now days because data that is processed is usually kept for future reference and mainly for security purposes in a company. Data transforms is processed into information and it is mostly used in different ways depending on what information one is extracting and from where the person is extracting the information.

It is commonly used in marketing, scientific information and research work, fraud detection and surveillance and many more and most of this work is done using a computer. This definition can come in different terms data snooping, data fishing and data dredging all this refer to data mining but it depends in which department one is. One must know data mining definition so that he can be in a position to make data.

The method of data mining has been there for so many centuries and it is used up to date. There were early methods which were used to identify data mining there are mainly two: regression analysis and bayes theorem. These methods are never used now days because a lot of people have advanced and technology has really changed the entire system.

With the coming up or with the introduction of computers and technology, it becomes very fast and easy to save information. Computers have made work easier and one can be able to expand more knowledge about data crawling and learn on how data is stored and processed through computer science.

Computer science is a course that sharpens one skill and expands more about data crawling and the definition of what data mining means. By studying computer science one can be in a position to know: clustering, support vector machines and decision trees there are some of the units that are found on computer science.

It's all about all this and this knowledge must be applied here. Government institutions, small scale business and supermarkets use data.

The main reason most companies use data mining is because data assist in the collection of information and observations that a company goes through in their daily activity. Such information is very vital in any companies profile and needs to be checked and updated for future reference just in case something happens.

Businesses which use data crawling focus mainly on return of investments, and they are able to know whether they are making a profit or a loss within a very short period. If the company or the business is making a profit they can be in a position to give customers an offer on the product in which they are selling so that the business can be a position to make more profit in an organization, this is very vital in human resource departments it helps in identifying the character traits of a person in terms of job performance.

Most people who use this method believe that is ethically neutral. The way it is being used nowadays raises a lot of questions about security and privacy of its members. Data mining needs good data preparation which can be in a position to uncover different types of information especially those that require privacy.

A very common way in this occurs is through data aggregation.

Data aggregation is when information is retrieved from different sources and is usually put together so that one can be in a position to be analyze one by one and this helps information to be very secure. So if one is collecting data it is vital for one to know the following:

    How will one use the data that he is collecting?
    Who will mine the data and use the data.
    Is the data very secure when am out can someone come and access it.
    How can one update the data when information is needed
    If the computer crashes do I have any backup somewhere.

It is important for one to be very careful with documents which deal with company's personal information so that information cannot easily be manipulated.

Victor Cases has many hobbies and interests. As well being a keen blogger and article writer for many sites, he has also recently created a site focusing on data mining definition. The site is constantly being updated and has articles such as data mining to read.




Source: http://ezinearticles.com/?Data-Mining---Retrieving-Information-From-Data&id=5054887

Monday, 16 September 2013

How Can We Ensure the Accuracy of Data Mining - While Anonymizing the Data?

Okay so, the topic of this question is meaningful and was recently asked in a government publication on Internet Privacy, Smart Phone Personal Data, and Social Online Network Security Features. And indeed, it is a good question, in that we need the bulk raw data for many things such as; planning for IT backbone infrastructure, allotting communication frequencies, tracking flu pandemics, chasing cancer clusters, and for national security, etc, on-and-on, this data is very important.

Still, the question remains; "How Can We Ensure the Accuracy of Data Mining - While Anonymizing the Data?" Well, if you don't collect any data in the first place, you know what you've collected is accurate right? No data collected = No errors! But, that's not exactly what everyone has in mind of course. Now then if you don't have sources for the data points, and if all the data is a anonymized in advance, due to the use of screen names in social networks, then none of the accuracy of any of the data can be taken as truthful.

Okay, but that doesn't mean some of the data isn't correct right? And if you know the percentage of data you cannot trust, you can get better results. How about an example, during the campaign of Barak Obama there were numerous polls in the media, of course, many of the online polls showed a larger percentage, land-slide-like, which never materialized in the actual election; why? Simple, there were folks gaming the system, and because the online crowd, younger group participating was in greater abundance.

Back to the topic; perhaps what's needed is for someone less qualified as a trusted source with their information could be sidelined and identified as a question mark and within or adding to the margin of error. And, if it appears to be fake, a number next to that piece of data, and that identification can then be deleted, when doing the data mining.

Although, perhaps a subsystem could allow for tracing and tracking, but only if it was at the national security level, which could take the information all the way down to the individual ISP and actual user identification. And if data was found to be false, it could merely be red flagged, as unreliable.

The reality is you can't trust sources online, or any of the information that you see online, just like you cannot trust word-for-word the information in the newspapers, or the fact that 95% of all intelligence gathered is junk, the trick is to sift through and find the 5% that is reality based, and realize that even the misinformation, often has clues.

Thus, if the questionable data is flagged prior to anonymizing the data, then you can increase your margin for error without ever having the actual identification of any one-piece of data in the whole bulk of the database or data mine. Margins for error are often cut short, to purport better accuracy, usually to the detriment of the information or the conclusions, solutions, or decisions made from that data.

And then there is the fudge factor, when you are collecting data to prove yourself right? Okay, let's talk about that shall we? You really can't trust data as unbiased if the dissemination, collection, processing, and accounting was done by a human being. Likewise, we also know we cannot trust government data, or projections.

Consider if you will the problems with trusting the OMB numbers and economic data on the financial bill, or the cost of the ObamaCare healthcare bill. Also other economic data has been known to be false, and even the bank stress tests in China, the EU, and the United States is questionable. For instance consumer and investor confidence is very important therefore false data is often put out, or real data is manipulated before it's put on the public. Hey, I am not an anti-government guy, and I realize we need the bureaucracy for some things, but I am wise enough to realize that humans run the government, and there is a lot of power involved, humans like to retain and get more of that power. We can expect that.

And we can expect that folks purporting information under fake screen names, pen names to also be less-than-trustworthy, that's all I am saying here. Look, it's not just the government, corporations do it too as they attempt to put a good spin on their quarterly earnings, balance sheet, move assets around, or give forward looking projections.

Even when we look at the data from the FED's Beige Sheet we could say that most all of that is hearsay, because generally the FED Governors of the various districts do not indicate exactly which of their clients, customers, or friends in industry gave them which pieces of information. Thus we don't know what we can trust, and we thus must assume we can't trust any of it, unless we can identify the source prior to its inclusion in the research, report, or mined data query.

This is nothing new, it's the same for all information, whether we read it in the newspaper or our intelligence industry learns of new details. Check sources and if we don't check the sources in advance, the correct thing to do is to increase the probability that the information is indeed incorrect, and/or the margin for error at some point ends up going hyperbolic on you, thus, you need to throw the whole thing out, but then I ask why collect it in the first place.

Ah hell, this is all just philosophy on the accuracy of data mining. Grab yourself a cup of coffee, think about it and email your comments and questions.




Source: http://ezinearticles.com/?How-Can-We-Ensure-the-Accuracy-of-Data-Mining---While-Anonymizing-the-Data?&id=4868548

Saturday, 14 September 2013

Outsource Data Mining Services to Offshore Data Entry Company

Companies in India offer complete solution services for all type of data mining services.

Data Mining Services and Web research services offered, help businesses get critical information for their analysis and marketing campaigns. As this process requires professionals with good knowledge in internet research or online research, customers can take advantage of outsourcing their Data Mining, Data extraction and Data Collection services to utilize resources at a very competitive price.

In the time of recession every company is very careful about cost. So companies are now trying to find ways to cut down cost and outsourcing is good option for reducing cost. It is essential for each size of business from small size to large size organization. Data entry is most famous work among all outsourcing work. To meet high quality and precise data entry demands most corporate firms prefer to outsource data entry services to offshore countries like India.

In India there are number of companies which offer high quality data entry work at cheapest rate. Outsourcing data mining work is the crucial requirement of all rapidly growing Companies who want to focus on their core areas and want to control their cost.

Why outsource your data entry requirements?

Easy and fast communication: Flexibility in communication method is provided where they will be ready to talk with you at your convenient time, as per demand of work dedicated resource or whole team will be assigned to drive the project.

Quality with high level of Accuracy: Experienced companies handling a variety of data-entry projects develop whole new type of quality process for maintaining best quality at work.

Turn Around Time: Capability to deliver fast turnaround time as per project requirements to meet up your project deadline, dedicated staff(s) can work 24/7 with high level of accuracy.

Affordable Rate: Services provided at affordable rates in the industry. For minimizing cost, customization of each and every aspect of the system is undertaken for efficiently handling work.

Outsourcing Service Providers are outsourcing companies providing business process outsourcing services specializing in data mining services and data entry services. Team of highly skilled and efficient people, with a singular focus on data processing, data mining and data entry outsourcing services catering to data entry projects of a varied nature and type.

Why outsource data mining services?

360 degree Data Processing Operations
Free Pilots Before You Hire
Years of Data Entry and Processing Experience
Domain Expertise in Multiple Industries
Best Outsourcing Prices in Industry
Highly Scalable Business Infrastructure
24X7 Round The Clock Services

The expertise management and teams have delivered millions of processed data and records to customers from USA, Canada, UK and other European Countries and Australia.

Outsourcing companies specialize in data entry operations and guarantee highest quality & on time delivery at the least expensive prices.



Source: http://ezinearticles.com/?Outsource-Data-Mining-Services-to-Offshore-Data-Entry-Company&id=4027029

Thursday, 12 September 2013

Healthcare Marketing Series - Data Mining - The 21st Century Marketing Gold Rush

There is gold in them there hills! Well there is gold right within a few blocks of your office. Mining for patients, not unlike mining for gold or drilling for oil requires either great luck or great research.

It's all about the odds.

It's true that like old Jed from the Beverly Hillbillies, you might just take a shot and strike oil. But more likely you might drill a dry hole or dig a mine and find dirt not diamonds. Without research you might be a mere 2 feet from pay dirt, but drilling or mining in just the wrong spot.

Now oil companies and gold mining companies spend millions, if not, billions of dollars studying where and how to effectively find the "mother load". If market research is good enough for the big boys, it should be good enough for the healthcare provider. Remember as a health care professional you probably don't have the extras millions laying around to squander on trial and error marketing.

If you did there would be little need for you to market to find new patients to help.

In previous articles in the Health Care Marketing Series we talked about developing a marketing strategy, using metrics to measure the performance of your marketing execution, developing effective marketing warheads based on your marketing strategy, evaluating the most efficient ways to deliver those warheads, your marketing missile systems, and tying several marketing methods together into a marketing MIRV.

If you have been following along with our articles and starting to integrate the concepts detailed in them, by now you should have an excellent marketing infrastructure. Ready to launch laser guided marketing missiles tipped with nuclear marketing MIRVs. The better you have done your research, the more detailed your marketing strategy, the more effective and efficient your delivery systems, the bigger bang you'll receive from your marketing campaign. And ultimately the more lives you will help to change of patients that truly can benefit from your skills and talents as a doctor.

Sounds like you're ready for healthcare marketing shock and awe.

Everything is ready to launch, this is great, press the button and fire away!

Ah, but wait just a minute, General. What is the target? Where are they? What are the aiming coordinates?

The target? Why of course all those sick people out there.

Where are they? Well of course, out there!

The coordinates? Man just press the button, carpet bomb man. Carpet bomb!

This scenario is designed to show you how quickly the wheels can come off even the best intended marketing war machine. It brings us back full circle. We are right back to our original article on marketing strategy.

But this time we are going to introduce the concept of data mining. If you remember, our article on marketing strategy talked about doing research. We talked about research as the true cornerstone of all marketing efforts.

What is the target, General?

Answering this question is a little difficult and the truth is each healthcare provider needs to determine his or her high value target. And more importantly needs to know how to determine his or her high value targets.

Let's go back to our launch scenario to illustrate this point. Let's continue with our military analogy. Let's say we have several aircraft carriers, a few destroyers and a fleet of rowboats, making up our marketing battlefield.

As we have discussed previously, waging a marketing war, like any war, consumes resources. So do we want to launch our nuclear marketing MIRVs, the most valuable resources in our arsenal, and target the fleet of rowboats?

Or would it be wiser to target those aircraft carriers?

Well the obvious answer is "get those carriers".

But here is where things get a little tricky. One man's aircraft carrier is another man's rowboat.

You have to data mine your practice to determine which targets are high value targets.

What goes into that data mining process? Well first and foremost, what conditions do you 1.like to treat, 2. have a proven track record of treating and 3. obtain a reasonable reimbursement for treating.

In my own practice, I typically do not like or enjoy treating shoulder problems. I don't know if I don't like treating shoulders because I haven't had great results with them or if I haven't had great results, because I don't like treating them. Needless to say my reimbursement for treating shoulder cases is relatively low.

So do I really want to carpet bomb my marketing terrain and come up with 10 new cases of rotator cuff tears? These cases, for more than one reason, are my rowboats.

On the contrary, I like to treat neurological conditions like chronic pain; Neuropathy patients, Spinal Stenosis patients, Tinnitus patients, patients with Parkinson's Disease and Multiple Sclerosis patients. I've had results with these types of cases that have been good enough to publish. Because they are complex and difficult cases, I obtain a better than average reimbursement for my efforts. These cases are my aircraft carriers. If my marketing campaign brings me ten cases with these types of problems, chances are that the patient will obtain some great relief, I will find working with them an intellectual and stimulating challenge and my marketing efforts will bring me a handsome return on investment.

So the first lesson of data mining is to identify your aircraft carriers. They must be "your" aircraft carriers. You must have a good personal track record of helping these types of patients. You should enjoy treating these types of cases. And you should be rewarded for your time and expertise.

That's the first step in the process. Identifying your high value targets. The next step is THE most important aspect of healthcare marketing. As I discussed above, I enjoy working with complex neurological cases. But how many of these types of patients exist in my marketing terrain and are they looking for the type of help I can offer?

Being able to accurately answer these important questions is the single most valuable information I can extract using data mining.

It doesn't matter if I like treating these cases. It doesn't matter if I make a good living treating these cases. It doesn't matter if my success in treating these cases has made the local news. What matters is 1. do these types of cases exist in my neighborhood and 2. are they looking for the help I can provide to them?

You absolutely positively need to know who is looking for what in your marketing terrain and if what people are clamoring for is what you have to offer.

This knowledge is the most powerful tool in your marketing arsenal. It's your secret weapon. It is the foundation of your marketing strategy. It is so important that you should consider moving your office if the results of your data mining don't reveal an ocean full of aircraft carriers in your marketing terrain for you to target.

If your market research does not reveal an abundance of aircraft carriers on your horizon, you need to either 1. move to a new battlefield, 2. re-target your efforts towards the destroyers in your market or 3. try to create a market.

Let's look at your last choice. Trying to create a market. Unless you are Coke or Pepsi, your ability to create a market as a health care provider is extremely limited. To continue on with our analogy, to create a market requires converting rowboats into, at least, destroyers, but better yet aircraft carriers.

What would it cost if you took a rowboat to a ship yard and told them to rebuild it as an aircraft carrier?

This is what you face if you try to create a market where none exists. Unless you have a personality flaw and thrive on selling ice to Eskimos, creating a market is not a rewarding proposition.

So scratch this option off the table right now.

What about re-targeting your campaign towards destroyers? That's a viable option. It's a good option. It's probably your best option. It's an option that will likely give you your best return on investment. It is recommended that you focus your arsenal on the destroyers while at the same time never passing on an opportunity to sink an aircraft carrier.

So what is the secret? How do you data mine for aircraft carriers?

Well its quite simple in the internet age. Just use the services of a market research firm. I like http://www.marketresearch.com They will do the data mining for you.

They can provide market intelligence that will tell you not only what the health care aircraft carriers are, but also where they are.

With this information, you will have a competitive advantage in your marketing battlefield. You can segment, and target high value targets in your area while your competitors squander their marketing resources on rowboats. Or even worse carpet bomb and hit ocean water, not valuable targets.

Your marketing strategy should be highly targeted. Your marketing resources should be well spent. As we discussed in our very first article on true "Marketing Strategy" you should enter the battle against your competition already knowing your have won.

What gives you this dominant position in the market, is knowing ahead-of-time, who is looking for what in your marketing terrain. In other words, not trying to create a market, but rather identifying existing market niches, specifically targeting them with laser guided precision and having headlines and ad copy based on your strength versus the weakness of your competition within that niche.

This research-based marketing strategy is sure to cause a big bang with potential patients.

And leave your competition trying to sell ice to Eskimos.

I hope you see how important market research is and why it is a good thing to spend some of your marketing budget on research before you waste your marketing resources on poorly targeted low value or no-value targets. This article was intended to give you a glimpse at how to use data mining and consumer demographics information as a foundation for the development of a scientific research-based marketing strategy. This article shows you how to use existing resources to give your marketing efforts (and you) a competitive advantage.




Source: http://ezinearticles.com/?Healthcare-Marketing-Series---Data-Mining---The--21st-Century-Marketing-Gold-Rush&id=1486283

Tuesday, 10 September 2013

Data mining techniques have advantages for several types of businesses, as well as there are more to be discovered over time. Since the era of the computer, things have been changing pretty quickly and every new step in the technology is equivalent to a revolution. Communication itself has not been enough. As compared to the present times, the data analyzers in the past have not achieved the chance to go further with the data they have in hand. Today, this data isn't used for selling more of a product but to foresee future risks as well as prevent them.

All are benefiting from modern these techniques even from smaller to large enterprises. They can now predict the outcome of a particular marketing campaign by analyzing them. However, in order for these techniques to be successful, the data must be arranged accurately. If your data is disseminated, you need to bring it in a meeting and then feed into the systems for the algorithms to figure it out. To put it shortly, no matter how small or big your business might be you always need to have the right system when collecting data from your customers, transactions and all business activities.

Advantages of Data Mining For Businesses

Businesses can truly benefit from its latest techniques; however, in the future, data mining techniques are expected to be even more concise and effective than they are today. Here are the essential techniques that you need to understand:

· Big companies providing the free web based email services can use data mining techniques to catch spam emails from their customer's inboxes. Their software uses a technique to assess whether an email is a spam or not. These techniques are first tested and validated before they are finally used. This is to ensure they are producing the correct results.

· Large retail stores and even shopping malls could make use of these techniques by registering and recording the transactions made by their customers. When customers are buying particular sets of product, it can give them a good understanding of placing these items in the aisle. If they want to change the order and placement of the item on weekends, it could be found out after analyzing the data on their database.

· Companies manufacturing edible or drinkable products could easily use data mining techniques to increase their sales in a particular area and launch new products based on the information they've obtained. That's why the conventional statistical analysis is rigid in scenarios wherein consumer behavior is in question. However, these techniques still manages to give you good analysis for any situations.

· In call centers, the human interaction is at its peak because people are talking with another people at all times. Customers respond differently when they talk to a female representative as opposed to talking to a male representative. The response of customers to an infomercial is different from their response to an ad in the newspaper. Data could be used for the benefit of the business and is best understood with the use of data mining techniques.

· Data mining techniques are also being used in sports today for analyzing the performances of players in the field. Any game could be analyzed with the help of these techniques; even the behaviors of players could be changed on the field through this.

In short, data mining techniques are giving the organizations, enterprises and smaller businesses the power of focusing on their most productive areas. These techniques also allow stores and companies to innovate their current selling techniques by unveiling the hidden trends of their customer's behavior, background, price of the products, placement, closeness to the related products and many more.



Source: http://ezinearticles.com/?Advantages-of-Data-Mining-in-Various-Businesses&id=7568546