Monday 30 September 2013

Web Scraper Shortcode WordPress Plugin Review

This short post is on the WP-plugin called Web Scraper Shortcode, that enables one to retrieve a portion of a web page or a whole page and insert it directly into a post. This plugin might be used for getting fresh data or images from web pages for your WordPress driven page without even visiting it. More scraping plugins and sowtware you can find in here.

To install it in WordPress go to Plugins -> Add New.
Usage

The plugin scrapes the page content and applies parameters to this scraped page if specified. To use the plugin just insert the

[web-scraper ]

shortcode into the HTML view of the WordPress page where you want to display the excerpts of a page or the whole page. The parameters are as follows:

    url (self explanatory)
    element – the dom navigation element notation, similar to XPath.
    limit – the maximum number of elements to be scraped and inserted if the element notation points to several of them (like elements of the same class).

The use of the plugin is of the dom (Data Object Model) notation, where consecutive dom nodes are stated like node1.node2; for example: element = ‘div.img’. The specific element scrape goes thru ‘#notation’. Example: if you want to scrape several ‘div’ elements of the class ‘red’ (<div class=’red’>…<div>), you need to specify the element attribute this way: element = ‘div#red’.
How to find DOM notation?

But for inexperienced users, how is it possible to find the dom notation of the desired element(s) from the web page? Web Developer Tools are a handy means for this. I would refer you to this paragraph on how to invoke Web Developer Tools in the browser (Google Chrome) and select a single page element to inspect it. As you select it with the ‘loupe’ tool, on the bottom line you’ll see the blue box with the element’s dom notation:


The plugin content

As one who works with web scraping, I was curious about  the means that the plugin uses for scraping. As I looked at the plugin code, it turned out that the plugin acquires a web page through ‘simple_html_dom‘ class:

    require_once(‘simple_html_dom.php’);
    $html = file_get_html($url);
    then the code performs iterations over the designated elements with the set limit

Pitfalls

    Be careful if you put two or more [web-scraper] shortcodes on your website, since downloading other pages will drastically slow the page load speed. Even if you want only a small element, the PHP engine first loads the whole page and then iterates over its elements.
    You need to remember that many pictures on the web are indicated by shortened URLs. So when such an image gets extracted it might be visible to you in this way: , since the URL is shortened and the plugin does not take note of  its base URL.
    The error “Fatal error: Call to a member function find() on a non-object …” will occur if you put this shortcode in a text-overloaded post.

Summary

I’d recommend using this plugin for short posts to be added with other posts’ elements. The use of this plugin is limited though.



Source: http://extract-web-data.com/web-scraper-shortcode-wordpress-plugin-review/

Sunday 29 September 2013

Microsys A1 Website Scraper Review

The A1 scraper by Microsys is a program that is mainly used to scrape websites to extract data in large quantities for later use in webservices. The scraper works to extract text, URLs etc., using multiple Regexes and saving the output into a CSV file. This tool is can be compared with other web harvesting and web scraping services.
How it works
This scraper program works as follows:
Scan mode

    Go to the ScanWebsite tab and enter the site’s URL into the Path subtab.
    Press the ‘Start scan‘ button to cause the crawler to find text, links and other data on this website and cache them.

Important: URLs that you scrape data from have to pass filters defined in both analysis filters and output filters. The defining of those filters can be set at the Analysis filters and Output filters subtabs respectively. They must be set at the website analysis stage (mode).
Extract mode

    Go to the Scraper Options tab
    Enter the Regex(es) into the Regex input area.
    Define the name and path of the output CSV file.
    The scraper automatically finds and extracts the data according to Regex patterns.

The result will be stored in one CSV file for all the given URLs.

There is a need to mention that the set of regular expressions will be run against all the pages scraped.
Some more scraper features

Using the scraper as a website crawler also affords:

    URL filtering.
    Adjustment of the speed of crawling according to service needs rather than server load.

If  you need to extract data from a complex website, just disable Easy mode: out press the  button. A1 Scraper’s full tutorial is available here.
Conclusion

The A1 Scraper is good for mass gathering of URLs, text, etc., with multiple conditions set. However this scraping tool is designed for using only Regex expressions, which can increase the parsing process time greatly.



Source: http://extract-web-data.com/microsys-a1-website-scraper-review/

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

Scraping Amazon.com with Screen Scraper

Let’s look how to use Screen Scraper for scraping Amazon products having a list of asins in external database.

Screen Scraper is designed to be interoperable with all sorts of databases and web-languages. There is even a data-manager that allows one to make a connection to a database (MySQL, Amazon RDS, MS SQL, MariaDB, PostgreSQL, etc), and then the scripting in screen-scraper is agnostic to the type of database.

Let’s go through a sample scrape project you can see it at work. I don’t know how well you know Screen Scraper, but I assume you have it installed, and a MySQL database you can use. You need to:

    Make sure screen-scraper is not running as workbench or server
    Put the Amazon (Scraping Session).sss file in the “screen-scraper enterprise edition/import” directory.
    Put the mysql-connector-java-5.1.22-bin.jar file in the “screen-scraper enterprise edition/lib/ext” directory.
    Create a MySQL database for the scrape to use, and import the amazon.sql file.
    Put the amazon.db.config file in the “screen-scraper enterprise edition/input” directory and edit it to contain proper settings to connect to your database.
    Start the screen scraper workbench

Since this is a very simple scrape, you just want to run it in the workbench (most of the time you want to run scrapes in server mode). Start the workbench, and you will see the Amazon scrape in there, and you can just click the “play” button.

Note that a breakpoint comes up for each item. It would be easy to save the scraped details to a database table or file if you want. Also see in the database the “id_status” changes as each item is scraped.

When the scrape is run, it looks in the database for products marked “not scraped”, so when you want to re-run the scrapes, you need to:

UPDATE asin
SET `id_status` = 0

Have a nice scraping! ))

P.S. We thank Jason Bellows from Ekiwi, LLC for such a great tutorial.


Source: http://extract-web-data.com/scraping-amazon-com-with-screen-scraper/

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/

Sunday 22 September 2013

Cutting Down the Cost of Data Mining

For most industries that maintain databases, from patient history in the healthcare industry to account information for the financial and banking sectors, data entry costs are a significant expense for maintaining good records. After data enters a system, performing operations and data mining extractions on the information is a long process that becomes more time consuming as a database grows.

Data automation is essential for reducing operational expenses on any type of stored data. Having data entrants performing every necessary task becomes cost prohibitive quickly. Utilizing software solutions to automate database operations is the ultimate answer to leveraging information without the associated high cost.

Data Mining Simplified

Data management software will greatly enhance the productivity of any data entrant or end user. In fact, effective programs offer macro recording that can turn any user into a data entry expert. For example, a user can perform an operation on a single piece of data and "record" all the actions, keystrokes, and mouse clicks into a program. Then, the computer software can repeat that task on every database entry automatically and at incredible speeds.

Data mining often requires a decision making process; a recorded macro is only going to perform tasks and not think about what it is doing. Software suites are able to analyze data, decide what action needs to be performed based on user specified criteria, and then iterate that process on an entire database. This function nearly eliminates the need for a human to have to manually look at data to determine its content and the necessary operation.

Case Study: Bank Data Migration

To understand how effective data mining and automation can be, let us take a look at an actual example.

Bank data migration and manipulation is a large undertaking and an integral part of any bank's operations. Account data is constantly being updated and utilized in the decision making process. Even a mid-sized bank can have upwards of a quarter million accounts to maintain. In order to update every account to utilize new waive fee codes, data automation can save approximately 19,000 hours that it would have taken to open every account, decide what codes applies, and update that account's status.

Recurring operations on a database, even if small in scale, that can be automated will reap cost saving benefits over the lifetime of a business. The credit department within a bank would process payment plans for new home, car, and personal loans monthly, saving thousands of operations performed every month. Retirement and 401k accounts that shift investments every year based on expected retirement dates also benefit from automatic account updates, ensuring timely and accurate account changes.

Cost savings for data mining or bank data migration are an excellent profit driver. Cutting down on expenses on a per-client or per-account basis increases margins directly without having to secure more customers, reduce prices, or remove services. Efficient data operations will save time and money, allowing personnel to better direct their energy and efforts towards key business tasks.

Chris Harmen is a writer who enjoys researching leading off-the-shelf data entry, data mining solutions and bank data migration case studies.




Source: http://ezinearticles.com/?Cutting-Down-the-Cost-of-Data-Mining&id=3329403

Friday 20 September 2013

Popularity of Managed Services

Don't let the downtime be a fact of your business. Your website is your online tool and is directly tied to your business success. Your tight budget limits may not allow you to have your own dedicated IT staff. However, with the help of managed services, you can have your own personal IT staff to control everything proactively without worrying for any overhead expenditure. You will have all your services and applications managed 24x7 from a central console.

Whether it's about patch management, virus updates, data back-ups, server monitoring, networking or reporting, you can handle all using breakthrough technology. Managed Services take away the headaches of failures by moving away from a break.

There is no dearth of highly experienced web hosting companies providing all managed services at the most competitive prices suiting to your business and budget. The best example is NaviSite Inc., where you can get your entire web hosting requirements (managed services, hosting solutions, server monitoring) catered in the best possible way. Moreover, they have got the highly qualified as well as the certified technicians to handle all the technical bottlenecks hampering the productivity of your business.

Managed services have come up as boon for small to medium sized businesses as these services offer a unique business model that aligns IT with the goals and objectives of the organization. Connectivity errors, network problems, server downtime are some of the errors that directly impact the profitability of the managed service providers. All such providers follow a rigorous troubleshooting model to prevent hitches instead of the traditional consulting model where service providers love to extract more compensation in name of more problems.

Also, there are other numerous benefits of managed services. Since everything is managed remotely, this means lesser onsite visits and more of the utilization of your workforce and earning potential. With the help of managed services, you can address multiple issues for different clients while engaged in concurrent remote sessions. So, all the benefits lead to no more haggling over invoices with clients.

Why are you lacking behind? Give your business the power of managed services today and experience a complete new world of freedom from website downtime and technical defaults.

David Smith is an expert writer and holds interest in multiple verticals of web hosting services. For managed hosting and application services, he truly recommends NaviSite Inc.




Source: http://ezinearticles.com/?Popularity-of-Managed-Services&id=1790304

Thursday 19 September 2013

Top Data Mining Tools

Data mining is important because it means pulling out critical information from vast amounts of data. The key is to find the right tools used for the expressed purposes of examining data from any number of viewpoints and effectively summarize it into a useful data set.

Many of the tools used to organize this data have become computer based and are typically referred to as knowledge discovery tools.

Listed below are the top data mining tools in the industry:

    Insightful Miner - This tool has the best selection of ETL functions of any data mining tool on the market. This allows the merging, appending, sorting and filtering of data.
    SQL Server 2005 Data Mining Add-ins for Office 2007 - These are great add-ins for taking advantage of SQL Server 2005 predictive analytics in Office Excel 2007 and Office Visio 2007. The add-ins Allow you to go through the entire development lifecycle within Excel 2007 by using either a spreadsheet or external data accessible through your SQL Server 2005 Analysis Services instance.
    Rapidminder - Also known as YALE is a pretty comprehensive and arguably world-leading when it comes to an open-source data mining solution. it is widely used from a large number of companies an organizations. Even though it is open-source, this tool, out of the box provides a secure environment and provides enterprise capable support and services so you will not be left out in the cold.

The list is short but ever changing in order to meet the increasing demands of companies to provide useful information from years of data.

TonyRocks.com in Pittsburgh Pennsylvania is one of only a few companies in the region that offer data tools an strategies.

They also keep a nice and updated list of the the latest on new tools in integration strategies for your organization.

Want to learn more about data mining and selecting the right tool? Visit http://www.tonyrocks.com and discover what it takes to make sense of all of your precious data with free and open source tools.




Source: http://ezinearticles.com/?Top-Data-Mining-Tools&id=1380551

Wednesday 18 September 2013

Data Entry Outsourcing

Data entry outsourcing is contracting with outside consultants, software houses or service bureaus to perform systems analysis, programming, and data center operations. In the U.S. in 2003, the term took on extra meaning, often referring to jobs being given to people in companies located in India and other countries. The main reason behind outsourcing is the availability of qualified and experienced computer operators at low cost.

Data entry outsourcing is limited to all types of data entry operations e.g. data conversion, document and image processing, catalog processing services, image enhancement, image editing and photo manipulation services, etc.

The need for data entry is constant for some organizations for making day to day decisions. In such cases data entry is a regular and continuous requirement. The types of companies for which this is the case are financial institutions, hospitals, lawyers, court houses, oil companies, transportation companies, Ivy League colleges, pharmaceutical companies, universities, publishing companies etc. For some other organizations data entry may be just a temporary requirement. Accurate and easily accessible data is a necessity for all.

Accumulated data is a powerful management resource. Since data entry outsourcing at lower cost is available, the latent potential of the information accumulated in data which was dumped earlier is being usefully exploited by the organization where data entry is just a temporary requirement.

The combination of digitization of media and the rush to outsource has resulted in a wide range of customers from the UK, USA, France, Norway and more than 20 other countries coming to India, China etc for data entry outsourcing.

Most of the time-consuming data entry jobs are being done by outsourcing. For example, catalog management, which involves handling and maintaining paper catalogs, is not just time consuming, but also expensive. By converting your product catalogs to online and digital catalogs, making changes, and updating your product catalog becomes as easy as the click of a button once data entry has been completed.




Source: http://ezinearticles.com/?Data-Entry-Outsourcing&id=222083

Tuesday 17 September 2013

Data Mining Explained

Overview
Data mining is the crucial process of extracting implicit and possibly useful information from data. It uses analytical and visualization techniques to explore and present information in a format which is easily understandable by humans.

Data mining is widely used in a variety of profiling practices, such as fraud detection, marketing research, surveys and scientific discovery.

In this article I will briefly explain some of the fundamentals and its applications in the real world.

Herein I will not discuss related processes of any sorts, including Data Extraction and Data Structuring.

The Effort
Data Mining has found its application in various fields such as financial institutions, health-care & bio-informatics, business intelligence, social networks data research and many more.

Businesses use it to understand consumer behavior, analyze buying patterns of clients and expand its marketing efforts. Banks and financial institutions use it to detect credit card frauds by recognizing the patterns involved in fake transactions.

The Knack
There is definitely a knack to Data Mining, as there is with any other field of web research activities. That is why it is referred as a craft rather than a science. A craft is the skilled practicing of an occupation.

One point I would like to make here is that data mining solutions offers an analytical perspective into the performance of a company depending on the historical data but one need to consider unknown external events and deceitful activities. On the flip side it is more critical especially for Regulatory bodies to forecast such activities in advance and take necessary measures to prevent such events in future.

In Closing
There are many important niches of Web Data Research that this article has not covered. But I hope that this article will provide you a stage to drill down further into this subject, if you want to do so!

Should you have any queries, please feel free to mail me. I would be pleased to answer each of your queries in detail.

Richard Kaith is member of Data Mining services team at COS - Outsourcing Web Research firm - an established BPO company offering effective Data extraction and Web research services at affordable rates. For any queries visit us at http://www.outsourcingwebresearch.com



Source: http://ezinearticles.com/?Data-Mining-Explained&id=4341782

Monday 16 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.

Herat Patel, CEO at 3Alpha Dataentry Services possess over 15+ years of experience in providing data related services outsourced to India.

Visit our Facebook Data Entry profile for comments & reviews.

Our services helps to convert any kind of  hard copy sources, our data mining services helps to collect business contacts, customer contact, product specifications etc., from different web sources. We promise to deliver the best quality work and help you excel in your business by focusing on your core business activities. Outsource data mining services to India and take the advantage of outsourcing and save cost.




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

Sunday 15 September 2013

Data Mining Tools - Understanding Data Mining

Data mining basically means pulling out important information from huge volume of data. Data mining tools are used for the purposes of examining the data from various viewpoints and summarizing it into a useful database library. However, lately these tools have become computer based applications in order to handle the growing amount of data. They are also sometimes referred to as knowledge discovery tools.

As a concept, data mining has always existed since the past and manual processes were used as data mining tools. Later with the advent of fast processing computers, analytical software tools, and increased storage capacities automated tools were developed, which drastically improved the accuracy of analysis, data mining speed, and also brought down the costs of operation. These methods of data mining are essentially employed to facilitate following major elements:

    Pull out, convert, and load data to a data warehouse system
    Collect and handle the data in a database system
    Allow the concerned personnel to retrieve the data
    Data analysis
    Data presentation in a format that can be easily interpreted for further decision making

We use these methods of mining data to explore the correlations, associations, and trends in the stored data that are generally based on the following types of relationships:

    Associations - simple relationships between the data
    Clusters - logical correlations are used to categorise the collected data
    Classes - certain predefined groups are drawn out and then data within the stored information is searched based on these groups
    Sequential patterns - this helps to predict a particular behavior based on the trends observed in the stored data

Industries which cater heavily to consumers in retail, financial, entertainment, sports, hospitality and so on rely on these data methods of obtaining fast answers to questions to improve their business. The tools help them to study to the buying patterns of their consumers and hence plan a strategy for the future to improve sales. For e.g. restaurant might want to study the eating habits of their consumers at various times during the day. The data would then help them in deciding on the menu at different times of the day. Data mining tools certainly help a great deal when drawing out business plans, advertising strategies, discount plans, and so on. Some important factors to consider when selecting a data mining tool include the platforms supported, algorithms on which they work (neural networks, decisions trees), input and output options for data, database structure and storage required, usability and ease of operation, automation processes, and reporting methods.

Jeff Smith is the managing director of Karma Technologies and feels strongly about implementing ways to be green into their business practices, to a point they are almost a paper-free company.




Source: http://ezinearticles.com/?Data-Mining-Tools---Understanding-Data-Mining&id=1109771

Friday 13 September 2013

Enjoy Valuable Advantages of Finding Professional Online Data Entry Services

Outsourcing is eyed as a cost-effective means to make the business cycle run. The market consists of a lot of heartened buyers who have enjoyed the fruits of outsourcing by compensating a trivial sum to online data entry service providers. They have felt that the sum they shelled out to these services is quite insignificant when compared to the work they got completed by doing so. Of late, its effect among corporate people is so huge that even those who did not prefer to outsource their projects have embraced this practice realizing quite a few of the several advantages that it has in store. Online Data Entry Services is subcontracted to a lot of individuals and other smaller business units that take such projects as their prime source of occupation.

Many services are distributed to companies who approach these online data entry service providers. Some of the commonly used services are web research, mortgage research, product entry and lastly data mining and extraction services. Adept professionals are at your service in these service providers as those who run such units strongly believe in deploying a team of skilled professionals to help clients realize results as quick as possible. Moreover, the systems that are up for utilization in these units are technically advanced both in terms of utility and security hence you need not fear for having outsourced some crucial data sheets belonging to your company. These providers value your information as how they treasure you association and hence you need not actually care a lot about the confidentiality of your information.

Business firms can look forward to receiving high-class data entry from the hands of online data entry services that undertake such projects. Some of the below-mentioned points are a short listing of what interests business in subcontracting the work to professionals.

    Keying in the data happens to be the first phase at the end of which the companies get understandable information to make strategic decisions with. What appeared as raw data represented by mere numbers some time ago is a pointer or a guide, at present, to accelerate business progress.
    Systems being used for such processes offer complete protection to the information.
    As chances of obtaining high quality information rises, the company's business executive is expected to arrive at excellent decisions that reflect on the company's better performance in future.
    Turnaround time is considerably shortened.
    Cost-effective approach does hold a lot of substance since it considerably decreases the operational overheads related to data entry services within the business wing of the company itself.

Saving money and time holds a unique advantage and outsourcing of such online data entry services proffers these businesses this distinctive edge. Thriving companies intend to focus on their core operations instead of delving into such non-core activities, which do not weigh as good as other essential industrial operations that they need to look after. Why should one take and put these chores on themselves when some professionals who are capable of delivering effective results can be picked from the outsourcing market.

Finding a trustable firm rendering online data entry services is not difficult any longer. Search for the reliable business establishments to subcontract everyday data entry work and feel happy for having acted wise.




Source: http://ezinearticles.com/?Enjoy-Valuable-Advantages-of-Finding-Professional-Online-Data-Entry-Services&id=4680177

Web Mining

With the bang of the era of information technology, we have entered into an ocean of information. This information blast is strongly based on the internet; which has become one of the universal infrastructures of information. We can not deny the fact that, with every passing day, the web based information contents are increasing by leaps and bounds and as such, it is becoming more and more difficult to get the desired information which we are actually looking for. Web mining is a tool, which can be used in customizing the websites on the basis of its contents and also on the basis of the user interface. Web mining normally comprises of usage mining, content mining and structure mining.

Data mining, text mining and web mining, engages various techniques and procedures to take out appropriate information from the huge database; so that companies can take better business decisions with precision, hence, data mining, text mining and web mining helps a lot in the promotion of the 'customer relationship management' goals; whose primary objective is to kick off, expand, and personalize a customer relationship by profiling and categorizing customers.

However, there are numbers of matters that must be addressed while dealing with the process of web mining. Data privacy can be said to be the trigger-button issue. Recently, privacy violation complaints and concerns have escalated significantly, as traders, companies, and governments continue to gather and warehouse huge amount of private information. There are concerns, not only about the collection and compilation of private information, but also the analysis and use of such data. Fueled by the public's concern about the increasing volume of composed statistics and effective technologies; conflict between data privacy and mining is likely to root higher levels of inspection in the coming years. Legal conflicts are also pretty likely in this regard.

There are also other issues facing data mining. 'Erroneousness of Information' can lead us to vague analysis and incorrect results and recommendations. Customers' submission of incorrect data or false information during the data importation procedure creates a real hazard for the web mining's efficiency and effectiveness. Another risk in data mining is that the mining might get confused with data warehousing. Companies developing information warehouses without employing the proper mining software are less likely to reach to the level of accuracy and efficiency and also they are less likely to receive the full benefit from there. Likewise, cross-selling may pose a difficulty if it breaks the customers' privacy, breach their faith or annoys them with unnecessary solicitations. Web mining can be of great help to improve and line-up the marketing programs, which targets customers' interests and needs.

In spite of potential hurdles and impediments, the market for web mining is predicted to grow by several billion dollars in the coming years. Mining helps to identify and target the potential customers, whose information are "buried" in massive databases and to strengthen the customer relationships. Data mining tools can predict the future market trends and consumer behaviors, which can potentially help businesses to take proactive and knowledge-based resolutions. This is one of the causes why data mining is also termed as 'Knowledge Discovery'. It can be said to be the process of analyzing data from different points of view and sorting and grouping the identified data and finally to set up a useful information database, which can further be analyzed and exploited by companies to increase and generate revenue and cut costs. With the use of data mining, business organizations are finding it easier to answer queries relating to business aptitude and intelligence, which were very much complicated and intricate to analyze and determine earlier.



Source: http://ezinearticles.com/?Web-Mining&id=6565700

Wednesday 11 September 2013

What is Data Mining? Why Data Mining is Important?

Searching, Collecting, Filtering and Analyzing of data define as data mining. The large amount of information can be retrieved from wide range of form such as different data relationships, patterns or any significant statistical co-relations. Today the advent of computers, large databases and the internet is make easier way to collect millions, billions and even trillions of pieces of data that can be systematically analyzed to help look for relationships and to seek solutions to difficult problems.

The government, private company, large organization and all businesses are looking for large volume of information collection for research and business development. These all collected data can be stored by them to future use. Such kind of information is most important whenever it is require. It will take very much time for searching and find require information from the internet or any other resources.

Here is an overview of data mining services inclusion:

* Market research, product research, survey and analysis
* Collection information about investors, funds and investments
* Forums, blogs and other resources for customer views/opinions
* Scanning large volumes of data
* Information extraction
* Pre-processing of data from the data warehouse
* Meta data extraction
* Web data online mining services
* data online mining research
* Online newspaper and news sources information research
* Excel sheet presentation of data collected from online sources
* Competitor analysis
* data mining books
* Information interpretation
* Updating collected data

After applying the process of data mining, you can easily information extract from filtered information and processing the refining the information. This data process is mainly divided into 3 sections; pre-processing, mining and validation. In short, data online mining is a process of converting data into authentic information.

The most important is that it takes much time to find important information from the data. If you want to grow your business rapidly, you must take quick and accurate decisions to grab timely available opportunities.

Outsourcing Web Research is one of the best data mining outsourcing organizations having more than 17 years of experience in the market research industry. To know more information about our company please contact us.




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Monday 9 September 2013

Usefulness of Web Scraping Services

For any business or organization, surveys and market research play important roles in the strategic decision-making process. Data extraction and web scraping techniques are important tools that find relevant data and information for your personal or business use. Many companies employ people to copy-paste data manually from the web pages. This process is very reliable but very costly as it results to time wastage and effort. This is so because the data collected is less compared to the resources spent and time taken to gather such data.

Nowadays, various data mining companies have developed effective web scraping techniques that can crawl over thousands of websites and their pages to harvest particular information. The information extracted is then stored into a CSV file, database, XML file, or any other source with the required format. After the data has been collected and stored, data mining process can be used to extract the hidden patterns and trends contained in the data. By understanding the correlations and patterns in the data; policies can be formulated and thereby aiding the decision-making process. The information can also be stored for future reference.

The following are some of the common examples of data extraction process:

• Scrap through a government portal in order to extract the names of the citizens who are reliable for a given survey.
• Scraping competitor websites for feature data and product pricing
• Using web scraping to download videos and images for stock photography site or for website design

Automated Data Collection
It is important to note that web scraping process allows a company to monitor the website data changes over a given time frame. It also collects the data on a routine basis regularly. Automated data collection techniques are quite important as they help companies to discover customer trends and market trends. By determining market trends, it is possible to understand the customer behavior and predict the likelihood of how the data will change.

The following are some of the examples of the automated data collection:

• Monitoring price information for the particular stocks on hourly basis
• Collecting mortgage rates from the various financial institutions on the daily basis
• Checking on weather reports on regular basis as required

By using web scraping services it is possible to extract any data that is related to your business. The data can then be downloaded into a spreadsheet or a database for it to be analyzed and compared. Storing the data in a database or in a required format makes it easier for interpretation and understanding of the correlations and for identification of the hidden patterns.

Through web scraping it is possible to get quicker and accurate results and thus saving many resources in terms of money and time. With data extraction services, it is possible to fetch information about pricing, mailing, database, profile data, and competitors data on a consistent basis. With the emergence of professional data mining companies outsourcing your services will greatly reduce your costs and at the same time you are assured of high quality services.



Source: http://ezinearticles.com/?Usefulness-of-Web-Scraping-Services&id=7181014

Sunday 8 September 2013

Data Mining - Techniques and Process of Data Mining

Data mining as the name suggest is extracting informative data from a huge source of information. It is like segregating a drop from the ocean. Here a drop is the most important information essential for your business, and the ocean is the huge database built up by you.

Recognized in Business

Businesses have become too creative, by coming up with new patterns and trends and of behavior through data mining techniques or automated statistical analysis. Once the desired information is found from the huge database it could be used for various applications. If you want to get involved into other functions of your business you should take help of professional data mining services available in the industry

Data Collection

Data collection is the first step required towards a constructive data-mining program. Almost all businesses require collecting data. It is the process of finding important data essential for your business, filtering and preparing it for a data mining outsourcing process. For those who are already have experience to track customer data in a database management system, have probably achieved their destination.

Algorithm selection

You may select one or more data mining algorithms to resolve your problem. You already have database. You may experiment using several techniques. Your selection of algorithm depends upon the problem that you are want to resolve, the data collected, as well as the tools you possess.

Regression Technique

The most well-know and the oldest statistical technique utilized for data mining is regression. Using a numerical dataset, it then further develops a mathematical formula applicable to the data. Here taking your new data use it into existing mathematical formula developed by you and you will get a prediction of future behavior. Now knowing the use is not enough. You will have to learn about its limitations associated with it. This technique works best with continuous quantitative data as age, speed or weight. While working on categorical data as gender, name or color, where order is not significant it better to use another suitable technique.

Classification Technique

There is another technique, called classification analysis technique which is suitable for both, categorical data as well as a mix of categorical and numeric data. Compared to regression technique, classification technique can process a broader range of data, and therefore is popular. Here one can easily interpret output. Here you will get a decision tree requiring a series of binary decisions.



Source: http://ezinearticles.com/?Data-Mining---Techniques-and-Process-of-Data-Mining&id=5302867

Friday 6 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

Thursday 5 September 2013

Professional Data Entry Services - Ensure Maximum Security for Data

Though a lot of people have concerns about it, professional data entry services can actually ensure maximum security for your data. This is in addition to the quality and cost benefits that outsourcing provides anyway. The precautionary measures for data protection would begin from the time you provide your documents/files for entry to the service provider till completion of the project and delivery of the final output to you. Whether performed onshore or offshore, the security measures are stringent and effective. You only have to make sure you outsource to the right service provider. Making use of the free trials offered by different business process outsourcing companies would help you choose right.

BPO Company Measures for Data Protection and Confidentiality

• Data Remains on Central Servers - The company would ensure that all data remains on the central servers and also that all processing is done only on these servers. No text or images would leave the servers. The company's data entry operators cannot download or print any of this data.

• Original Documents Are Not Circulated - The source files or documents (hard copies) which you give to the service provider is not distributed as such to their staff. This source material is scanned with the help of high speed document scanners. The data would be keyed from scanned images or extracted utilizing text recognition techniques.

• Source Documents Safely Disposed Of - After use, your source documents would be disposed of in a secure manner. Whenever necessary, the BPO company would get assistance from a certified document destruction company. Such measures would keep your sensitive documents from falling into the hands of unauthorized personnel.

• Confidentiality - All staff would be required to sign confidentiality agreements. They would also be apprised of information protection policies that they would have to abide by. In addition, the different projects of various clients would be handled in segregated areas.

• Security Checks - Surprise security checks would be carried out to ensure that there is adherence to data security requirements when performing data entry services.

• IT Security - All computers used for the project would be password protected. These computers would additionally be provided with international quality anti-virus protection and advanced firewalls. The anti-virus software would be updated promptly.

• Backup - Regular backups would be done of information stored in the system. The backup data would be locked away securely.

• Other Measures - Other advanced measures that would be taken for information protection include maintenance of a material and personnel movement register, firewalls and intrusion detection, 24/7 security manning the company's premises, and 256 bit AES encryption.

Take Full Advantage of It

Take advantage of professional data entry services and ensure maximum security for your data. When considering a particular company to outsource to, do ask them about their security measures in addition to their pricing and turnaround.



Source: http://ezinearticles.com/?Professional-Data-Entry-Services---Ensure-Maximum-Security-for-Data&id=6961870

Wednesday 4 September 2013

Data Mining Is Useful for Business Application and Market Research Services

One day of data mining is an important tool in a market for modern business and market research to transform data into an information system advantage. Most companies in India that offers a complete solution and services for these services. The extraction or to provide companies with important information for analysis and research.

These services are primarily today by companies because the firm body search of all trade associations, retail, financial or market, the institute and the government needs a large amount of information for their development of market research. This service allows you to receive all types of information when needed. With this method, you simply remove your name and information filter.

This service is of great importance, because their applications to help businesses understand that it can perform actions and consumer buying trends and industry analysis, etc. There are business applications use these services:
1) Research Services
2) consumption behavior
3) E-commerce
4) Direct marketing
5) financial services and
6) customer relationship management, etc.

Benefits of Data mining services in Business

• Understand the customer need for better decision
• Generate more business
• Target the Relevant Market.
• Risk free outsourcing experience
• Provide data access to business analysts
• Help to minimize risk and improve ROI.
• Improve profitability by detect unusual pattern in sales, claims, transactions
• Major decrease in Direct Marketing expenses

Understanding the customer's need for a better fit to generate more business target market.To provide risk-free outsourcing experience data access for business analysts to minimize risk and improve return on investment.

The use of these services in the area to help ensure that the data more relevant to business applications. The different types of text mining such as mining, web mining, relational databases, data mining, graphics, audio and video industry, which all used in enterprise applications.



Source: http://ezinearticles.com/?Data-Mining-Is-Useful-for-Business-Application-and-Market-Research-Services&id=5123878

Data Mining Prevention by Poker Sites or What to do About WrecklessJoe55

As the ingenuity of third party program designers continues to challenge poker sites that need to ensure security for their users, along comes an upstart poker site that has changed one simple rule which could essentially solve a lot of problems for any player concerned about their long term statistics being examined by ruthless competitors.

Firstly though, let's define data mining for those who may not be sure what it is exactly. Data mining is the exchange of shared profiling information amongst a community of other players. As a player on most any online poker sites, it's quite likely you have been tracked through banned programs like Poker Sherlock or Poker Edge or had your information handed over via hand histories in another program called Poker Tracker. Although Poker Stars and Party Poker make this much more difficult (scanning your hard drive for such software) there are round-about tricks that enable them to work but you wouldn't want to describe them as smooth by any means.

Now the advantage of having access to a shared database of information about opponents is that if you happened to join an online table using this software, one or some of your opponents may be displayed via HUD some valuable statistics that may help your decision making during hand. Let's say for example that you are in a hand with a player named WrecklessJoe55. You are holding Th9h and the board shows Jc8cQc Ac and 2d. There is a big river bet put to you for the remainder of your stack to call. We will ignore the odds situation here for now, because either way, it's not the easiest call in the world.

Now let's say that through a purchased exchange of 100,000 hand histories via Poker Tracker you actually have some historical information on WrecklessJoe55 which clearly makes him a maniacal LAG player. Well that information would be leading towards a call. Just the opposite, if WrecklessJoe55 had a VPIP of 11% and PFR% of 7% along with a WSDW% of 72%, then these TAG statistics would be leading toward a fold - in fact I'd be almost sure of it.

The disdain poker sites have for these types of software is that you have never played with WrecklessJoe55 and you shouldn't know that information until YOU have ascertained it, not someone else. Yes, just like a regular live poker room. The Poker Stars security staff basically once told me that that is the guideline with which they want to emulate and all security policy emanates from that thinking.

Now we get to Cake Poker, an upstart network that is actually accepting USA player online! They came up with a policy that would essentially crush the inherent value in any data-mining program. It's rather simple too, as stated on the Cake Poker website:

"CakePoker players will be granted the option of changing their Poker Nickname every 7 Days. By allowing players to change their Poker Nickname often, CakePoker thus negates the effectiveness of shared or prolonged poker data tracking."

I wonder how much time and resources Poker Stars and Party Poker would save in their overall security budget if they adopted the same policy? Allow the players to change their name! It's simple! Big kudos to CakePoker for allowing this defence, in the name of protecting its players. Now although it no longer emulates a real live poker room, it definitely makes for a level playing field, and that's something to think about for the major players to be sure.



Source: http://ezinearticles.com/?Data-Mining-Prevention-by-Poker-Sites-or-What-to-do-About-WrecklessJoe55&id=982153

Sunday 1 September 2013

Benefits of Predictive Analytics and Data Mining Services

Predictive Analytics is the process of dealing with variety of data and apply various mathematical formulas to discover the best decision for a given situation. Predictive analytics gives your company a competitive edge and can be used to improve ROI substantially. It is the decision science that removes guesswork out of the decision-making process and applies proven scientific guidelines to find right solution in the shortest time possible.

Predictive analytics can be helpful in answering questions like:

    Who are most likely to respond to your offer?
    Who are most likely to ignore?
    Who are most likely to discontinue your service?
    How much a consumer will spend on your product?
    Which transaction is a fraud?
    Which insurance claim is a fraudulent?
    What resource should I dedicate at a given time?

Benefits of Data mining include:

    Better understanding of customer behavior propels better decision
    Profitable customers can be spotted fast and served accordingly
    Generate more business by reaching hidden markets
    Target your Marketing message more effectively
    Helps in minimizing risk and improves ROI.
    Improve profitability by detecting abnormal patterns in sales, claims, transactions etc
    Improved customer service and confidence
    Significant reduction in Direct Marketing expenses

Basic steps of Predictive Analytics are as follows:

    Spot the business problem or goal
    Explore various data sources such as transaction history, user demography, catalog details, etc)
    Extract different data patterns from the above data
    Build a sample model based on data & problem
    Classify data, find valuable factors, generate new variables
    Construct a Predictive model using sample
    Validate and Deploy this Model

Standard techniques used for it are:

    Decision Tree
    Multi-purpose Scaling
    Linear Regressions
    Logistic Regressions
    Factor Analytics
    Genetic Algorithms
    Cluster Analytics
    Product Association



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