Data Collection Techniques for a Successful Thesis

Irrespective of the grade of the topic and the subject of research you have chosen, basic requirement and process of all remains same i.e. "research". Re-search in itself means searching on a searched content and this involves some proven fact along with some practical figures reflecting the authenticity and reliability of the study. These facts and figures which are required to prove the fundamentals of study are known as "data's".

These data's are collected according to the demand of research topic and its study undertaken. Also their collection techniques vary along with the topic in detail for example if the topic is like "Changing era of HR policies", the demanded data would be subjective and its technique thus depends on the same. Whereas if the topic is like "Causes of performance appraisal", then the demanded data would be objective and in the terms of figures which shows different parameters, reasons and factors affecting performance appraisal of different number of employees. So, let's have a broader look on the different data collection techniques which gives a reliable ground to your research -

• Primary Technique - Here, the data is collected by the first hand source directly are known as primary data's. Self-analysis is a sub classification of primary data collection - As understood; here you get self-response for a set of questions or a study. For example - personal in-depth interviews and questionnaires are self-analyzed data collection techniques, but its limitation lies in the fact that self-response can be sometimes biased or even confused. On the other, hand the advantage is in the court of most updated data as it is directly collected from the source.

• Secondary Technique - In this technique the data is collected from the pre-collected resources they are called as secondary data's. Data's are collected from articles, bulletins, annual reports, journals, published papers, government and non-government documents and case studies. Limitation of these is that they may not be the updated one or may be manipulated as it is not collected by the researcher itself.

Secondary data is easy to collect as they are pre-collected and are preferred when there is lack of time whereas primary data's are tough to amass. Thus, if researcher wants to bring up to date, reliable and factual data's they should prefer primary source of collection. But, these data collection techniques vary according to problem generated in the thesis. Hence, go through the demands of your thesis first before indulging yourself into data collection.

Source: http://ezinearticles.com/?Data-Collection-Techniques-for-a-Successful-Thesis&id=9178754

How We Optimized Our Web Crawling Pipeline for Faster and Efficient Data Extraction

How We Optimized Our Web Crawling Pipeline for Faster and Efficient Data Extraction

Big data is now an essential component of business intelligence, competitor monitoring and customer experience enhancement practices in most organizations. Internal data available in organizations is limited by its scope, which makes companies turn towards the web to meet their data requirements. The web being a vast ocean of data, the possibilities it opens to the business world are endless. However, extracting this data in a way that will make sense for business applications remains a challenging process.

The need for efficient web data extraction

Web crawling and data extraction is something that can be carried out through more than one route. In fact, there are so many different technologies, tools and methodologies you can use when it comes to web scraping. However, not all of these deliver the same results. While using browser automation tools to control a web browser is one of the easier ways of scraping, it’s significantly slower since rendering takes  a considerable amount of time.

There are DIY tools and libraries that can be readily incorporated into the web scraping pipeline. Apart from this, there is always the option of building most of it from scratch to ensure maximum efficiency and flexibility. Since this offers far more customization options which is vital for a dynamic process like web scraping, we have a custom built infrastructure to crawl and scrape the web.

How we cater to the rising and complex requirements

Every web scraping requirement that we receive each day is one of a kind. The websites that we scrape on a constant basis are different in terms of the backend technology, coding practices and navigation structure. Despite all the complexities involved, eliminating the pain points associated with web scraping and delivering ready-to-use data to the clients is our priority.

Some applications of web data demand the data to be scraped in low latency. This means, the data should be extracted as and when it’s updated in the target website with minimal delay. Price comparison, for example requires data in low latency. The optimal method of crawler setup is chosen depending on the application of the data. We ensure that the data delivered actually helps your application, in all of its entirety.

How we tuned our pipeline for highly efficient web scraping

We constantly tweak and tune our web scraping infrastructure to push the limits and improve its performance including the turnaround time and data quality. Here are some of the performance enhancing improvements that we recently made.

1. Optimized DB query for improved time complexity of the whole system

All the crawl stats metadata is stored in a database and together, this piles up to become a considerable amount of data to manage. Our crawlers have to make queries to this database to fetch the details that would direct them to the next scrape task to be done. This usually takes a few seconds as the meta data is fetched from the database. We recently optimized this database query which essentially reduced the fetch time to merely a fraction of seconds from about 4 seconds. This has made the crawling process significantly faster and smoother than before.

2. Purely distributed approach with servers running on various geographies

Instead of using a single server to scrape millions of records, we deploy the crawler across multiple servers located in different geographies. Since multiple machines are performing the extraction, the load on each server will be significantly lower which in turn helps speed up the extraction process. Another advantage is that certain sites that can only be accessed from a particular geography can be scraped while using the distributed approach. Since there is a significant boost in the speed while going with the distributed server approach, our clients can enjoy a faster turnaround time.

3. Bulk indexing for faster deduplication

Duplicate records is never a trait associated with a good data set. This is why we have a data processing system that identifies and eliminates duplicate records from the data before delivering it to the clients. A NoSQL database is dedicated to this deduplication task. We recently updated this system to perform bulk indexing of the records which will give a substantial boost to the data processing time which again ultimately reduces the overall time taken between crawling and data delivery.

Bottom line

As web data has become an inevitable resource for businesses operating across various industries, the demand for efficient and streamlined web scraping has gone up. We strive hard to make this possible by experimenting, fine tuning and learning from every project that we embark upon. This helps us maintain a consistent supply of clean, structured data that’s ready to use to our clients in record time.

Source:https://www.promptcloud.com/blog/how-we-optimized-web-scraping-setup-for-efficiency

Things to Factor in while Choosing a Data Extraction Solution

Things to Factor in while Choosing a Data Extraction Solution

Customization options

You should consider how flexible the solution is when it comes to changing the data points or schema as and when required. This is to make sure that the solution you choose is future-proof in case your requirements vary depending on the focus of your business. If you go with a rigid solution, you might feel stuck when it doesn’t serve your purpose anymore. Choosing a data extraction solution that’s flexible enough should be given priority in this fast-changing market.

Cost

If you are on a tight budget, you might want to evaluate what option really does the trick for you at a reasonable cost. While some costlier solutions are definitely better in terms of service and flexibility, they might not be suitable for you from a cost perspective. While going with an in-house setup or a DIY tool might look less costly from a distance, these can incur unexpected costs associated with maintenance. Cost can be associated with IT overheads, infrastructure, paid software and subscription to the data provider. If you are going with an in-house solution, there can be additional costs associated with hiring and retaining a dedicated team.

Data delivery speed

Depending on the solution you choose, the speed of data delivery might vary hugely. If your business or industry demands faster access to data for the survival, you must choose a managed service that can meet your speed expectations. Price intelligence, for example is a use case where speed of delivery is of utmost importance.

Dedicated solution

Are you depending on a service provider whose sole focus is data extraction? There are companies that venture into anything and everything to try their luck. For example, if your data provider is also into web designing, you are better off staying away from them.

Reliability

When going with a data extraction solution to serve your business intelligence needs, it’s critical to evaluate the reliability of the solution you are going with. Since low quality data and lack of consistency can take a toll on your data project, it’s important to make sure you choose a reliable data extraction solution. It’s also good to evaluate if it can serve your long-term data requirements.

Scalability

If your data requirements are likely to increase over time, you should find a solution that’s made to handle large scale requirements. A DaaS provider is the best option when you want a solution that’s salable depending on your increasing data needs.

When evaluating options for data extraction, it’s best keep these points in mind and choose one that will cover your requirements end-to-end. Since web data is crucial to the success and growth of businesses in this era, compromising on the quality can be fatal to your organisation which again stresses on the importance of choosing carefully.

Source:https://www.promptcloud.com/blog/choosing-a-data-extraction-service-provider

The Ultimate Guide to Web Data Extraction

Web data is of great use to Ecommerce portals, media companies, research firms, data scientists, government and can even help the healthcare industry with ongoing research and making predictions on the spread of diseases.

Consider the data available on classifieds sites, real estate portals, social networks, retail sites, and online shopping websites etc. being easily available in a structured format, ready to be analyzed. Most of these sites don’t provide the functionality to save their data to a local or cloud storage. Some sites provide APIs, but they typically come with restrictions and aren’t reliable enough. Although it’s technically possible to copy and paste data from a website to your local storage, this is inconvenient and out of question when it comes to practical use cases for businesses.



Web scraping helps you do this in an automated fashion and does it far more efficiently and accurately. A web scraping setup interacts with websites in a way similar to a web browser, but instead of displaying it on a screen, it saves the data to a storage system.

Applications of web data extraction
1. Pricing intelligence

Pricing intelligence is an application that’s gaining popularity by each passing day given the tightening of competition in the online space. E-commerce portals are always watching out for their competitors using web crawling to have real time pricing data from them and to fine tune their own catalogs with competitive pricing. This is done by deploying web crawlers that are programmed to pull product details like product name, price, variant and so on. This data is plugged into an automated system that assigns ideal prices for every product after analyzing the competitors’ prices.

Pricing intelligence is also used in cases where there is a need for consistency in pricing across different versions of the same portal. The capability of web crawling techniques to extract prices in real time makes such applications a reality.

2. Cataloging

Ecommerce portals typically have a huge number of product listings. It’s not easy to update and maintain such a big catalog. This is why many companies depend on web date extractions services for gathering data required to update their catalogs. This helps them discover new categories they haven’t been aware of or update existing catalogs with new product descriptions, images or videos.

3. Market research

Market research is incomplete unless the amount of data at your disposal is huge. Given the limitations of traditional methods of data acquisition and considering the volume of relevant data available on the web, web data extraction is by far the easiest way to gather data required for market research. The shift of businesses from brick and mortar stores to online spaces has also made web data a better resource for market research.

4. Sentiment analysis

Sentiment analysis requires data extracted from websites where people share their reviews, opinions or complaints about services, products, movies, music or any other consumer focused offering. Extracting this user generated content would be the first step in any sentiment analysis project and web scraping serves the purpose efficiently.

5. Competitor analysis

The possibility of monitoring competition was never this accessible until web scraping technologies came along. By deploying web spiders, it’s now easy to closely monitor the activities of your competitors like the promotions they’re running, social media activity, marketing strategies, press releases, catalogs etc. in order to have the upper hand in competition. Near real time crawls take it a level further and provides businesses with real time competitor data.

6. Content aggregation

Media websites need instant access to breaking news and other trending information on the web on a continuous basis. Being quick at reporting news is a deal breaker for these companies. Web crawling makes it possible to monitor or extract data from popular news portals, forums or similar sites for trending topics or keywords that you want to monitor. Low latency web crawling is used for this use case as the update speed should be very high.

7. Brand monitoring

Every brand now understands the importance of customer focus for business growth. It would be in their best interests to have a clean reputation for their brand if they want to survive in this competitive market. Most companies are now using web crawling solutions to monitor popular forums, reviews on ecommerce sites and social media platforms for mentions of their brand and product names. This in turn can help them stay updated to the voice of the customer and fix issues that could ruin brand reputation at the earliest. There’s no doubt about a customer-focused business going up in the growth graph.

Source url :-https://www.promptcloud.com/blog/ultimate-web-data-extraction-guide

How Data Mining Has Shaped The Future Of Different Realms

The work process of data mining is not exactly what its name suggests. In contrast to mere data extraction, it's a concept of data analysis and extracting out important and subject centred knowledge from the given data. Huge amounts of data is currently available on every local and wide area network. Though it might not appear, but parts of this data can be very crucial in certain respects. Data mining can aid one in moldings one's strategies effectively, therefore enhancing an organisation's work culture, leading it towards appreciable growth.

Below are some points that describe how data mining has revolutionised some major realms.

Increase in biomedical researches

There has been a speedy growth in biomedical researches leading to the study of human genetic structure, DNA patterns, improvement in cancer therapies along with the disclosure of factors behind the occurrence of certain fatal diseases. This has been, to an appreciable extent. Data scraping led to the close examination of existing data and pick out the loopholes and weak points in the past researches, so that the existing situation can be rectified.

Enhanced finance services

The data related to finance oriented firms such as banks is very much complete, reliable and accurate. Also, the data handling in such firms is a very sensitive task. Faults and frauds might also occur in such cases. Thus, scraping data proves helpful in countering any sort of fraud and so is a valuable practice in critical situations.

Improved retail services

Retail industries make a large scale and wide use of web scraping. The industry has to manage abundant data based on sales, shopping history of customers, input and supply of goods and other retail services. Also, the pricing of goods is a vital task. Data mining holds huge work at this place. A study of degree of sales of various products, customer behaviour monitoring, the trends and variations in the market, proves handy in setting up prices for different products, bringing up the varieties as per customers' preferences and so on. Data scraping refers to such study and can shape future customer oriented strategies, thereby ensuring overall growth of the industry.

Expansion of telecommunication industry

The telecom industry is expanding day by day and includes services like voicemail, fax, SMS, cellphone, e- mail, etc. The industry has gone beyond the territorial foundations, including services in other countries too. In this case, scraping helps in examining the existing data, analyses the telecommunication patterns, detect and counter frauds and make better use of available resources. Scraping services generally aims to improve the quality of service, being provided to the users.

Improved functionality of educational institutes

Educational institutes are one of the busiest places especially the colleges providing higher education. There's a lot of work regarding enrolment of students in various courses, keeping record of the alumni, etc and a large amount of data has to be handled. What scraping does here is that it helps the authorities locate the patterns in data so that the students can be addressed in a better way and the data can be presented in a tidy manner in future.

Article Source: https://ezinearticles.com/?How-Data-Mining-Has-Shaped-The-Future-Of-Different-Realms&id=9647823

Benefits with Web Data Scraping Services

Web scraping in simple words is that you can extract data from any website and it is quite similar to web harvesting.

Online business has become so popular due to the increase in number of internet users. One of the main benefits of online business is that it is cheap and it is easily accessible. This has become very tough and a competitive field. Hence it is important that each should exhibit high performance in order to survive here. Today most of the online business depends on web data scraping for better performance.

The benefits with web data scraping services are:

•    An unstructured data can be transformed into suitable form and it can be stored as spreadsheet or as a database
•    It provides data which are informational
•    Some of the websites provide free access and hence you can save money
•    It helps to save time and energy. If it is done by manpower, it will take more time to do because they need to go through the websites and that can be time consuming.
•    The results provided are accurate. It will provide the exact result required instead of providing the related data.

With web scraping benefits you can scrape any kind of data without much trouble and can be delivered in whichever format you like MYSQL, EXCEL, CSV, XML etc. All you need to do is suggest the website from where you require the data.

So whether your business is big or small you can rely on these web scraping services for getting different types of data scraping. With web scraping you can even know the upcoming market and trends. You can even assume the strategies and plans of your competitor. This helps to take important decision at an appropriate time. This is an important step in any business whether it is big or small. Some of the companies even offer free trial service offer. You don’t need to make the payment in advance. When the work is done and if you are completely satisfied only then you need to do the payment.

Most of the companies use advanced data scraping tools and provides quality services. So you can be assured that the money you are paying is worthwhile. The information that you give to them will be kept strictly confidential. You can absolutely trust these companies for your business requirements.

To discuss web data scraping requirement, email at info@www.web-scraping-services.com.

Source Url :-http://3idatascraping.weebly.com/blog/benefits-with-web-data-scraping-services

Web Scraping Techniques

Web Scraping Techniques

There can be various ways of accessing the web data. Some of the common techniques are using API, using the code to parse the web pages and browsing. The use of API is relevant if the site from where the data needs to be extracted supports such a system from before. Look at some of the common techniques of web scraping.

1. Text greping and regular expression matching

It is an easy technique and yet can be a powerful method of extracting information or data from the web. However, the web pages then need to be based on the grep utility of the UNIX operating system for matching regular expressions of the widely used programming languages. Python and Perl are some such programming languages.

2. HTTP programming

Often, it can be a big challenge to retrieve information from both static as well as dynamic web pages. However, it can be accomplished through sending your HTTP requests to a remote server through socket programming. By doing so, clients can be assured of getting accurate data, which can be a challenge otherwise.

3. HTML parsers

There are few data query languages in a semi-structured form that are capable of including HTQL and XQuery. These can be used to parse HTML web pages thus fetching and transforming the content of the web.

4. DOM Parsing

When you use web browsers like Mozilla or Internet Explorer, it is possible to retrieve contents of dynamic web pages generated by client scripting programs.

5. Reorganizing the semantic annotation

There are some web scraping services that can cater to web pages, which embrace metadata markup or semantic. These may be meant to track certain snippets. The web pages may embrace the annotations and can be also regarded as DOM parsing.
Setup or configuration needed to design a web crawler

The below-mentioned steps refer to the minimum configuration, which is required for designing a web scraping solution.

HTTP Fetcher– The fetcher extracts the web pages from the site servers targeted.

Dedup– Its job is to prevent extracting duplicate content from the web by making sure that the same text is not retrieved multiple times.

Extractor– This is a URL retrieval solution to fetch information from multiple external links.

URL Queue Manager– This queue manager puts the URLs in a queue and assigns a priority to the URLS that needs to be extracted and parsed.

Database– It is the place or the destination where data after being extracted by a web scraping tool is stored to process or analyze further.

Advantages of Data as a Service Providers

Outsourcing the data extraction process to a Data Services provider is the best option for businesses as it helps them focus on their core business functions. By relying on a data as a service provider, you are freed from the technically complicated tasks such as crawler setup, maintenance and quality check of the data. Since DaaS providers have expertise in extracting data and a pre-built infrastructure and team to take complete ownership of the process, the cost that you would incur will be significantly less than that of an in-house crawling setup.

Key advantages:

- Completely customisable for your requirement
- Takes complete ownership of the process
- Quality checks to ensure high quality data
- Can handle dynamic and complicated websites
- More time to focus on your core business

Source:https://www.promptcloud.com/blog/commercial-web-data-extraction-services-enterprise-growth

4 Tools That Makes Web Data Extraction Easy

There is a huge amount of data available on the World Wide Web. Organizations and individuals find this information useful and often have to make use of it for various purposes. Traditionally, web data is retrieved by browsing and keyword searching. These methods are purely intuitive, the searches can return vast amount of unnecessary data, and it can take quite a bit of time before the searchers find what they are looking for. This data is sometimes hard to manipulate and work on as it is done in traditional databases.

But web pages written in mark-up languages like HTML and XHTML contain a wealth of knowledge. They also provide the structures that make data manipulation and analysis so easy. To extract this data some easily usable applications have been built. Though people who know nothing about coding can use some of these applications, it is always advisable to take the help of data extraction experts for help with such work, to obtain best results.

4  Tools to Improve your Web Data Extraction Efforts:

Uipath:

One of the popular web scraping applications is offered by the software automation and application integration company, Uipath. They offer free trials and also live demos for new users and potential customers. They offer website scraping from HTML, XML, AJAX, Java applets, Flash, Silverlight and PDF. Their application has powerful data transformation features and enables deduplication with SQL and LINQ queries.
Once the data has been extracted, it can be exported to various outputs like Microsoft Excel, CSV, .NET DataTable and so on. Automations can be done with web login, navigation, and even filling of forms.
This application is good for non-coders and can even be used to manipulate the interface of another application so that data transfer can take place between the two of them.
The price tag might be a tad high for individual users, but is worth it if you want a fast, accurate and simple application.

Import.io:

 Import.io offers to “instantly turn web pages into data”. They advertise their service saying that the customer does not need plugin, training or setup. Users can create custom APIs and crawl entire websites by using their desktop application. The best part is that no coding knowledge is required. Users can scrap data from an unlimited number of web pages. For the service, each page is a source that holds great potential to source application programming interface.
The extracted data is stored on Import.io’s cloud servers. It can then be downloaded in different formats that include CSV, Google sheets, Microsoft Excel and many more. The generated API enables users to integrate live web data with their own applications, third party analytics and visualization software without much difficulty. Though users do not need much technical skills to operate this service, the extraction reports arrives a good 24 hours after the request has been submitted.

Kimono:

The task of building an API to power applications, models and visualizations using live data and without the benefit of any code is done in seconds by Kimono. The service has a smart extractor. It recognizes patterns in web content. This enables the user to get the data that he or she wants, quickly and visually. The extracted APIs are hosted on a cloud. They are then run as per the schedule that is convenient for the user. While there is no problem with either the speed or the accuracy of Kimono, there is a lack of availability of page navigation, and the system requires some training before it begins to function at full capability.

Screen Scraper:

Like the other above-mentioned services, Screen Scraper works well with HTML and Javascript, extracts data precisely and provides the data in Excel and CSV fomat. However, it requires the user to have some coding skills. Only then can it be used to its optimum functionality. Even though the user will have to shell out a bit of money to use Screen Scraper, the service can handle almost any data extraction task with ease.

Source Url:-https://www.invensis.net/blog/data-processing/4-tools-makes-web-data-extraction-easy/

How Web Scraping Software Can be Beneficial For Your Business

How Web Scraping Software Can be Beneficial For Your Business

Web scraping is the process of extracting information from different websites using several coded software programs. Best web scraping software can stimulate the human exploration of the web through different methods including embedding web browsers, Internet Explorer or implementing Hyper Text Transfer Protocol (HTTP).

Web scraping softwares focus on extracting data like product prices, weather information, public records (Unclaimed Money, Criminal records, Sex Offenders, Court records), retail store locations, or stock price movements; in a local database for further use. They can offer several advantages to the business firms by extracting data accurately, productively and in a short time. The other attributes of this efficient tool includes:

#   No Expensive Errors- Web scrapping can eliminate high-priced errors by reducing the demand for human interaction in the data extraction process, no matter how complicated or huge.

#   Automated Data Collection- With an automated data extraction application, you can get accurate information and can eliminate data entry costs.

#   Saves you time- Extracting information manually can be a time consuming process. But, with data harvesting softwares, you can gather the details in a short time and can focus on other core business activities.

#   Innovative Techniques- New characteristics and advanced extraction methods formed are made accessible immediately.

#   Supervisor your competitor's activities- With these web scraping methods, you can easily acquire the information from your competitors, like their products, value, and other essential details as and when updated on their online catalog.

#   No Third party applications- Companies offering best web scraping software services can eliminate the need to buy any specific software.

#   Gain competitive edge- With these extracting tools, you can speedily get vital information; thereby giving you an edge over the competition.

There are many companies offering best web scraping software services at affordable prices. Make your search on the web to get the details of these service providers. Internet is the best medium to get the details on any topic. You can even ask your known ones who have availed these services recently to know his experience with the service providers. Compare the prices offered by different companies to choose the best one that can cover your needs within budget. Web data extracting professionals are expert in harvesting data from different resources by forming non-intrusive customized data scraping solutions. They can take care of the different data extraction needs of the individuals and provide them with raw and accurate data in the short time and by making least effort on their part, thereby allowing them to focus on their core business.

Their efficient and influential web scraping services use proprietary algorithms made to extract and convert unstructured content into structured data(like HTML format) that can be stored and analyzed in a local database.

Hire the best company for web scraping services. These softwares can provide several benefits for your business like online lead generation, weather data monitoring, price comparison with your competition, website change detection, Web content mashup, Web research, and Web data integration.

Get in touch to take the benefits of our exceptional services at cost-effective prices.

Source:http://www.sooperarticles.com/internet-articles/affiliate-programs-articles/how-web-scraping-software-can-beneficial-your-business-1460101.html#ixzz4hmvy0oRL

Web scraping provides reliable and up-to-date web data

Web scraping provides reliable and up-to-date web data

There is an inconceivably vast amount of content on the web which was built for human consumption. However, its unstructured nature presents an obstacle for software. So the general idea behind web scraping is to turn this unstructured web content into a structured format for easy analysis.

Automated data extraction smooths the tedious manual aspect of research and allows you to focus on finding actionable insights and implementing them. And this is especially critical when it comes to online reputation management. Respondents to The Social Habit study showed that when customers contact companies through social media for customer support issues, 32% expect a response within 30 minutes and 42% expect a response within 60 minutes. Using web scraping, you could easily have constantly updating data feeds that alert you to comments, help queries, and complaints about your brand on any website, allowing you to take instant action.

You also need to be sure that nothing falls through the cracks. You can easily monitor thousands, if not millions of websites for changes and updates that will impact your company.

Source:https://blog.scrapinghub.com/2016/12/15/how-to-increase-sales-with-online-reputation-management/

Understanding URL scraping

Understanding URL scraping

URL scraping is the process where you automatically extract and filter URLs of WebPages that have specific features. The features that you are looking for vary depending on your goal. For example, if you are looking for a site where you can place your comment and get back link juice, you should go for WebPages that allow dofollow comments.

Techniques for URL scraping

There are many techniques that you can use to get the URL that you are looking for. Some of these techniques include:

Copy pasting: this is where you visit a given site and check whether it has the features that you are looking for. For example, if you are interested in dofollow links, you should visit a number of sites and find out if they have your target links. You should then identify the ones that have the features that you are looking for and compile a list.

Text grepping: this is a technique that allows you to search plain text on websites that match a regular expression. Although, the technique was designed for Unix, you can also use it on other operating systems.

HTTP programming: here you retrieve the WebPages that have the features that you are looking for. You should then note the URL of the pages. To retrieve the pages you have to post HTTP requests using a remote server that uses socket programming.

HTML Parser: a HTML parser allows you to mine data by detecting a common template, script or code on a specific website or Webpage. To be able to detect the script or code you have to use one of the many programming languages: HTQL, Java, PHP, XQuery and Python. Once the data is extracted, it's translated and packaged in a way that you are able to easily understand it.

DOM parsing: This is a technique where you retrieve dynamic content that has been generated by client side scripts that execute in a web browser such as Google Chrome, Mozilla Firefox or any other browsers.

URL scraping software: this is the easiest way of scraping URLs as all you need is high quality software that will do all the work for you. You should identify the features that you are interested in and then give command to the software. The software will go through all the sites on the internet and extract the URLs of the pages that have your target features.

We have plenty of information on CPV and Internet Marketing; therefore, if you are looking for URL Scraper tools for PPV you should highly consider visiting our website.

Source:http://www.amazines.com/article_detail.cfm/6180373?articleid=6180373

Take Your Online Business to the Next Level with Web Scraping Services

Take Your Online Business to the Next Level with Web Scraping Services

So you've spent long hours developing your online business - going it alone and carving out your niche. You've invested a large part of yourself and your money into developing a good idea and now you're seeing some fruits of your labor. Many business websites today live and die on information and the ability to collect it effectively is what can make all the difference. Whether your business is old or just an idea, there is no wrong time to start gathering data. It will take your business to the next level.

Online startups need help right now

You've got a great idea. You think you can make money with it online. You're prepared to invest time and money to make it happen, but you're not sure if it will work? Web Scraping can help. A web scraping service can search for data relevant to your idea and deliver a concise report on how many other sites are doing the same thing, what they charge, how long they've been doing it, etc. This is an invaluable tool to help you determine what your next step will be and what direction to take.

Going it alone

You've already started your online business. You're on your way toward developing your web presence. How do you buildup your web traffic? Start data mining to find your direction. Many people at this stage choose to go it alone and start web parsing on their own to save on expenses. Unless your super tech savvy, don't waste your time. A professional web scraping service can be set up to extract website data and deliver information to you before you can even figure out how to use that software you just downloaded. That's time you can spend doing other things - like taking a break.

It's working - Now what?

Your site has been up and running for awhile and you are seeing results. You've established a good web presence and your traffic is growing. You're starting to see some returns and you want more. Now what? Start marketing! BUT WAIT! Before you spend more time and money targeting future customers, find out who they are and how to reach them. In this critical step, a web scraping service will make all the difference. It can search out forums and social media websites where consumers post reviews about products and services similar to yours. It can show what they like to use and what they are spending their money on and where they go to do it. It can show you where to target your advertising dollars to maximize your returns.

Good business gets better

You're web presence is established. Customers come back for your product or service frequently and your profits reflect this. You've put in the effort and you've earned your position in the market. You've reached a comfortable level with your online business. Now is the time to take the next step. In order to go from good to better, you need to start really developing information about your competition and how your potential customers are responding to them. What are your competitors doing right? More importantly, what are they doing wrong? You already have your customer base, but why not solidify it and grow it. Data mining at this stage will show you how to improve your products or services. It will show you if your competition is making a mistake and how you can take advantage of it. It will help you tinker with your pricing and customer service to maximize customer loyalty. It will take you to the next level.

Source:http://ezinearticles.com/?Take-Your-Online-Business-to-the-Next-Level&id=6531030

Scrape Data from Website is a Proven Way to Boost Business Profits

Data scraping is not a new technology in market. Several business persons use this method to get benefited from it and to make good fortune. It is the procedure of gathering worthwhile data that has been located in the public domain of the internet and keeping it in records or databases for future usage in innumerable applications.

There is a large amount of data available only through websites. However, as many people have found out, trying to copy data into a usable database or spreadsheet directly out of a website can be a tiring process. Manual copying and pasting of data from web pages is shear wastage of time and effort. To make this task easier there are a number of companies that offer commercial applications specifically intended to scrape data from website. They are proficient of navigating the web, evaluating the contents of a site, and then dragging data points and placing them into an organized, operational databank or worksheet.

Web scraping company

Every day, there are numerous websites that are hosting in internet. It is almost impossible to see all the websites in a single day. With this scraping tool, companies are able to view all the web pages in internet. If a business is using an extensive collection of applications, these scraping tools prove to be very useful.

It is most often done either to interface to a legacy system which has no other mechanism which is compatible with current hardware, or to interface to a third-party system which does not provide a more convenient API. In the second case, the operator of the third-party system will often see screen scraping as unwanted, due to reasons such as increased system load, the loss of advertisement revenue, or the loss of control of the information content.

Scrape data from website greatly helps in determining the modern market trends, customer behavior and the future trends and gathers relevant data that is immensely desirable for the business or personal use.


Source : http://www.botscraper.com/blog/Scrape-Data-from-Website-is-a-Proven-Way-to-Boost-Business-Profits

How Web Data Mining Can Help Generate More Business Leads?

Why data mining concept and techniques is in increasing trend for enterprises? How it helps big data visualization for intelligent marketing, tracking current trends, monitor latest work and unlocking the potential of your business data?

In today’s cut-throat competitive and ever-changing environment, Internet’s infrastructure is an integral source of vital information that keeps the enterprise alive and aggressive. And effective web data mining services can be utilized for generating more business leads and prospects besides getting deep insight to predictive analysis of information gathered from past business years.

Web data mining is the art and science of extracting valuable predictive information from bulk databases and is an effective tool to gather quality data about potential customers for the business.

Critical data pertaining to consumer behavior, contact, buying patter, ability and willingness to spend, and other aspects is most crucial in identifying sales leads for the business and proven data mining techniques can help you with this.

lead generation through web data miningIt is a technique of web crawling through innumerable online resources for gathering vital information, enabling the enterprise to promote business, generate quality leads, and understand the dynamics of the market.

It also empowers the organizations to master data management tasks, make reliable predictions and effective decisions for production, marketing and sales processes, business development, workflow, and more. Nevertheless, it is remarkably effective in lead generation to improve your sales conversion.

Importance of Lead Generation through Web Data Mining:

New business lead is worth to invest for and efficient web data mining solutions brings potential customers details at very affordable cost to company. Some of the trusted data mining and analysis tools that help generate more leads are discussed below:

Website download software – It is used for copying website content directly to the hard drive. The pages can be viewed later and used for gathering required data.

Website or article scraper – It is most effective in extracting valuable tailored data from the web. It can crawl through bulk information to get just the specific data needed.

Data grab program – It sifts through the database or website to generate a particular type of information and efficiently form a strong base of information that can be useful in lead generation.

Extract text software – The cutting edge software allows the user to crawl multiple sources and dig out valuable data in a simple way. It helps in extracting data from a website or multiple websites at the same, minimizing the time and effort required to generate accurate data results.

Areas and Application of Web Data Mining Services:

Areas and Application of Web Data Mining

Facebook data mining
Data mining of pdf
Twitter data mining
Social media data mining
Data mining for business intelligence
Python data mining
Wiki data mining
EBay data mining
Excel data mining
Professional data mining and knowledge discovery
Big data mining
Open source data mining
Privacy preserving data mining
Data mining in healthcare
Data mining for marketing
LinkedIn data mining etc


Companies that use statistical data mining solutions have more chances to of surviving in today’s competitive environment through effective decision making. Professional data analyst can help increase number of business leads.

Article  Source:-http://www.habiledata.com/blog/web-data-mining-service-to-generate-business-leads

Introduction About Data Extraction Services

Introduction About Data Extraction Services

World Wide Web and search engine development and data at hand and ever-growing pile of information have led to abundant. Now this information for research and analysis has become a popular and important resource.

According to an investigation "now a days, companies are looking forward to the large number of digital documents, scanned documents to help them convert scanned paper documents.

Today, web services research is becoming more and more complex. The business intelligence and web dialogue to achieve the desired result if the various factors involved. You get all the company successfully for scanning ability and flexibility to your business needs to reach can not scan documents. Before you choose wisely you should hire them for scanning services.

Researchers Web search (keyword) engine or browsing data using specific Web resources can get. However, these methods are not effective. Keyword search provides a great deal of irrelevant data. Since each web page has many outbound links to browse because it is difficult to retrieve the data.

Web mining, web content mining, the use of web structure mining and Web mining is classified. Mining content search and retrieval of information from the web is focused on. Mining use of the extract and analyzes user behavior. Structure mining refers to the structure of hyperlinks.

Processing of data is much more financial institutions, universities, businesses, hospitals, oil and transportation companies and pharmaceutical organizations for the bulk of the publication is useful. There are different types of data processing services are available in the market. , Image processing, form processing, check processing, some of them are interviewed.

Web Services mining can be divided into three subtasks:

Information(IR) clearance: The purpose of this subtask to automatically find all relevant information and filter out irrelevant. Google, Yahoo, MSN, etc. and other resources needed to find information using various search engines like.

Generalization: The purpose of this subtask interested users to explore clustering and association rules, including using data mining methods. Since dynamic Web data are incorrect, it is difficult for traditional data mining techniques are applied to raw data.

Data (DV) Control: The former works with data that knowledge is trying to uncover. Researchers tested several models they can emulate and eventually Internet information is valid for stability.

Source:http://www.sooperarticles.com/business-articles/outsourcing-articles/introduction-about-data-extraction-services-500494.html

Extensive Benefits of Data Mining Services to Marketing – Retail and Outreach Sectors…!!!

There is a vast ocean out there – An ocean of information on internet which is massive, brimming with a lot of data; in fact, it is constantly getting updated, increase the volume with each passing day. In fact, it is believed that around 90% of total information generated in the last two years, is now available on the internet.

Picking right set of information from this heap of data is like searching a needle in the haystack. It is almost next to impossible to search it manually – You need a powerful magnet in form of data mining service provider…!!!

Data mining services work like a magnet – It helps you in finding the right kind of information from huge databases available in the digital world. And with databases getting mammoth every minute, the importance of partnering with a professional and reliable data mining company cannot be overlooked.Though, loaded with a lot of negative connotations; data mining still reigns like a king! In fact, in order to truly appreciate the concept behind data mining, one needs to know it in its entirety.

Every coin has two sides – If there is a brighter side; there tends to be a dark side as well. Though, advantages of web extraction, outweighs disadvantages the fact is it is always the dark underbelly that is highlighted and shown to the world. However, as wise men say, focus on positive sides – Lets see what amazing advantages it can offer to your business and how well you can gain from hiring a professional data mining services.


Upside or Advantage of Data Extraction Services:


While data mining is used primarily in business, it is interesting to know that benefits of data mining goes beyond and across boundaries; it helps various industries as well.

Marketing/Retailing

Data mining can prove to be extremely helpful to the marketers and retailers who are looking out for potential clients as well as aspires to maintain consumer satisfaction. This is one of the methods that allows the businesses to know their potential clients better by acquiring their personal information and preferences.
Not just data extraction helps in determining the trends in goods and services by presenting an overview of online data. With adequate information, you can improve your goods and services, along with changing or choosing the ones which are more in demand. Consequently, success in business has been made quicker and easier these days because of data mining.

Streamline Outreach

Outreach forms an integral part of any business – And to effectively carry out outreach activities; one needs to have a huge cache of database, that can help the marketers to learn how to approach a particular set of customers.
Information like that includes relevant e-mail addresses, mailing addresses or social media pages needs to be streamlined any mailers to get the best results.
Data extraction makes this easier; since it gets all the updated information; and in process saves your time and money.
And as it is “the lotus flower grows in mud, but makes our world fragrant” – data mining services is marred by criticism and controversy; however, its extensive advantages outweighs these negativity to a great extent.

Source: http://www.habiledata.com/blog/extensive-benefits-of-data-mining-services-to-marketing-retail-and-outreach-sectors/

New technology Of Website Data Scraping

New technology Of Website Data Scraping

Proved to scrape data from websites using the software program is the process of extracting data from the Web. We offer the best web software to extract data. That kind of experience and knowledge in web data extraction is completed image, screen scrapping, email extractor services, data mining, web hoarding.

You can use the data scraping services?

Data as the information is available on the network, name, word, or what is available in web. be removed, restaurants our city California software and marketing company to use the data from these data can market their product as restaurants. Vast network construction and large building group for your product and company.

Web Data Extraction

Websites tagged text-based languages (HTML and XHTML) are created using, and often contain a lot of useful data as text. However, the majority of web pages and automate human end users are not designed for ease of use. Because of this, scrape toolkits that web content is created. A web scraper to have an API to extract data from a Web site. We have a variety of APIs that you need to scrape data helps help. We offer quality and affordable web applications for data mining

Data collection

In general; the information of the data transfer between the programs, people automatically by computer processing is performed by appropriate structures. Such formats and protocols are strictly structured change documented, analyzed easily, and to maintain a minimum ambiguity. Often, these transmissions are not readable.

Email Extractor

A tool that automatically any reliable source called an email extractor to extract email ids help. It is fundamentally different websites, HTML files, text files or any other format without ID duplicate email contacts collection services.

Screen Scrapping

Data mining is the process of extracting patterns from data services. Data mining to transform data into information is becoming an increasingly important tool. MS Excel, CSV, HTML and many other formats, including any format according to your needs.

Spider Web

A spider is a computer program that a methodical, automated or in an orderly way to surf the World Wide Web. Many sites, in particular search engines, providing up-to-date data, use speeding as a means. There are literally thousands of free proxy servers located throughout the world that are very easy to use.
Web Grabber

Web Grabber is just another name for data scraping or data extraction. Different techniques and processes designed to collect and analyze data, and has developed over time. Web Scraping for business processes that have beaten the market recently is one. It is a process from various sources such as websites and databases with large amounts of data provides.
Have you ever heard "data scraping?" Scraping data scraping technology to new technologies and a successful businessman made his fortune by taking advantage of the data is not.

Source: http://www.selfgrowth.com/articles/new-technology-of-website-data-scraping

Web Data Extraction Services and Data Collection Form Website Pages

Web Data Extraction Services and Data Collection Form Website Pages

For any business market research and surveys plays crucial role in strategic decision making. Web scrapping and data extraction techniques help you find relevant information and data for your business or personal use. Most of the time professionals manually copy-paste data from web pages or download a whole website resulting in waste of time and efforts.

Instead, consider using web scraping techniques that crawls through thousands of website pages to extract specific information and simultaneously save this information into a database, CSV file, XML file or any other custom format for future reference.

Examples of web data extraction process include:
• Spider a government portal, extracting names of citizens for a survey
• Crawl competitor websites for product pricing and feature data
• Use web scraping to download images from a stock photography site for website design

Automated Data Collection
Web scraping also allows you to monitor website data changes over stipulated period and collect these data on a scheduled basis automatically. Automated data collection helps you discover market trends, determine user behavior and predict how data will change in near future.

Examples of automated data collection include:
• Monitor price information for select stocks on hourly basis
• Collect mortgage rates from various financial firms on daily basis
• Check whether reports on constant basis as and when required

Using web data extraction services you can mine any data related to your business objective, download them into a spreadsheet so that they can be analyzed and compared with ease.

In this way you get accurate and quicker results saving hundreds of man-hours and money!

With web data extraction services you can easily fetch product pricing information, sales leads, mailing database, competitors data, profile data and many more on a consistent basis.

Source:http://ezinearticles.com/?Web-Data-Extraction-Services-and-Data-Collection-Form-Website-Pages&id=4860417

Benefits of data extraction for the healthcare system

Benefits of data extraction for the healthcare system

When people think of data extraction, they have to understand that is the process of information retrieval, which extract automatically structured information from semi-structured or unstructured web data sources. The companies that do data extraction provide for clients specific information available on different web pages. The Internet is a limitless source of information, and through this process, people from all domains can have access to useful knowledge. The same is with the healthcare system, which has to be concerned with providing patients quality services. They have to deal with poor documentation, and this has a huge impact on the way they provide services, so they have to do their best and try to obtain the needed information. If doctors confront with a lack of complete documentation in a case, they are not able to proper care the patients. The goal of data scraping in this situation is to provide accurate and sufficient information for correct billing and coding the services provided to patients.

The persons that are working in the healthcare system have to review in some situations hundred of pages long documents, for knowing how to deal with a case, and they have to be sure that the ones that contain useful information will be protected for being destroyed or lost in the future. A data mining company has the capability to automatically manage and capture the information from such documents. It helps doctors and healthcare specialists to reduce their dependency on manual data entry, and this helps them to become more efficient. If it is used a data scraping system, data is brought faster and doctors are able to make decisions more effectively. In addition, the healthcare system can collaborate with a company that is able to gather data from patients, to see how a certain type of drug reacts and what side effects it has.

Data mining companies can provide specific tools that can help specialists extract handwritten information. They are based on a character recognition technology that includes a continuously learning network that improves constantly. This assures people that they will obtain an increased level of accuracy. These tools transform the way clinics and hospitals manage and collect data. They are the key for the healthcare system to meet federal guidelines on patient privacy. When such a system is used by a hospital or clinic, it benefits from extraction, classification and management of the patient data. This classification makes the extraction process easier, because when a specialist needs information for a certain case he will have access to them in a fast and effective way. An important aspect in the healthcare system is that specialists have to be able to extract data from surveys. A data scraping company has all the tools needed for processing the information from a test or survey. The processing of this type of information is based on optical mark recognition technology and this helps at extracting the data from checkboxes more easily. The medical system has recorded an improved efficiency in providing quality services for patients since it began to use data scrapping.

Source: http://www.amazines.com/article_detail.cfm/6196290?articleid=6196290

Data Mining's Importance in Today's Corporate Industry

Data Mining's Importance in Today's Corporate Industry

A large amount of information is collected normally in business, government departments and research & development organizations. They are typically stored in large information warehouses or bases. For data mining tasks suitable data has to be extracted, linked, cleaned and integrated with external sources. In other words, it is the retrieval of useful information from large masses of information, which is also presented in an analyzed form for specific decision-making.

Data mining is the automated analysis of large information sets to find patterns and trends that might otherwise go undiscovered. It is largely used in several applications such as understanding consumer research marketing, product analysis, demand and supply analysis, telecommunications and so on. Data Mining is based on mathematical algorithm and analytical skills to drive the desired results from the huge database collection.

It can be technically defined as the automated mining of hidden information from large databases for predictive analysis. Web mining requires the use of mathematical algorithms and statistical techniques integrated with software tools.

Data mining includes a number of different technical approaches, such as:

-  Clustering
-  Data Summarization
-  Learning Classification Rules
-  Finding Dependency Networks
-  Analyzing Changes
-  Detecting Anomalies

The software enables users to analyze large databases to provide solutions to business decision problems. Data mining is a technology and not a business solution like statistics. Thus the data mining software provides an idea about the customers that would be intrigued by the new product.

It is available in various forms like text, web, audio & video data mining, pictorial data mining, relational databases, and social networks. Data mining is thus also known as Knowledge Discovery in Databases since it involves searching for implicit information in large databases. The main kinds of data mining software are: clustering and segmentation software, statistical analysis software, text analysis, mining and information retrieval software and visualization software.

Data Mining therefore has arrived on the scene at the very appropriate time, helping these enterprises to achieve a number of complex tasks that would have taken up ages but for the advent of this marvelous new technology.

Source:http://ezinearticles.com/?Data-Minings-Importance-in-Todays-Corporate-Industry&id=2057401

Beneficial Data Collection Services

Internet is becoming the biggest source for information gathering. Varieties of search engines are available over the World Wide Web which helps in searching any kind of information easily and quickly. Every business needs relevant data for their decision making for which market research plays a crucial role. One of the services booming very fast is the data collection services. This data mining service helps in gathering relevant data which is hugely needed for your business or personal use.

Traditionally, data collection has been done manually which is not very feasible in case of bulk data requirement. Although people still use manual copying and pasting of data from Web pages or download a complete Web site which is shear wastage of time and effort. Instead, a more reliable and convenient method is automated data collection technique. There is a web scraping techniques that crawls through thousands of web pages for the specified topic and simultaneously incorporates this information into a database, XML file, CSV file, or other custom format for future reference. Few of the most commonly used web data extraction processes are websites which provide you information about the competitor's pricing and featured data; spider is a government portal that helps in extracting the names of citizens for an investigation; websites which have variety of downloadable images.

Aside, there is a more sophisticated method of automated data collection service. Here, you can easily scrape the web site information on daily basis automatically. This method greatly helps you in discovering the latest market trends, customer behavior and the future trends. Few of the major examples of automated data collection solutions are price monitoring information; collection of data of various financial institutions on a daily basis; verification of different reports on a constant basis and use them for taking better and progressive business decisions.

While using these service make sure you use the right procedure. Like when you are retrieving data download it in a spreadsheet so that the analysts can do the comparison and analysis properly. This will also help in getting accurate results in a faster and more refined manner.

http://ezinearticles.com/?Beneficial-Data-Collection-Services&id=5879822

Data Mining Introduction

Data Mining Introduction

Introduction

We have been "manually" extracting data in relation to the patterns they form for many years but as the volume of data and the varied sources from which we obtain it grow a more automatic approach is required.

The cause and solution to this increase in data to be processed has been because the increasing power of computer technology has increased data collection and storage. Direct hands-on data analysis has increasingly been supplemented, or even replaced entirely, by indirect, automatic data processing. Data mining is the process uncovering hidden data patterns and has been used by businesses, scientists and governments for years to produce market research reports. A primary use for data mining is to analyse patterns of behaviour.

It can be easily be divided into stages

Pre-processing

Once the objective for the data that has been deemed to be useful and able to be interpreted is known, a target data set has to be assembled. Logically data mining can only discover data patterns that already exist in the collected data, therefore the target dataset must be able to contain these patterns but small enough to be able to succeed in its objective within an acceptable time frame.

The target set then has to be cleansed. This removes sources that have noise and missing data.

The clean data is then reduced into feature vectors,(a summarized version of the raw data source) at a rate of one vector per source. The feature vectors are then split into two sets, a "training set" and a "test set". The training set is used to "train" the data mining algorithm(s), while the test set is used to verify the accuracy of any patterns found.

Data mining

Data mining commonly involves four classes of task:

Classification - Arranges the data into predefined groups. For example email could be classified as legitimate or spam.
Clustering - Arranges data in groups defined by algorithms that attempt to group similar items together
Regression - Attempts to find a function which models the data with the least error.
Association rule learning - Searches for relationships between variables. Often used in supermarkets to work out what products are frequently bought together. This information can then be used for marketing purposes.

Validation of Results

The final stage is to verify that the patterns produced by the data mining algorithms occur in the wider data set as not all patterns found by the data mining algorithms are necessarily valid.

If the patterns do not meet the required standards, then the preprocessing and data mining stages have to be re-evaluated. When the patterns meet the required standards then these patterns can be turned into knowledge.

Source : http://ezinearticles.com/?Data-Mining-Introduction&id=2731583

Data Mining Is Useful for Business Application and Market Research Services

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

Data Mining

Data mining is the retrieving of hidden information from data using algorithms. Data mining helps to extract useful information from great masses of data, which can be used for making practical interpretations for business decision-making. It is basically a technical and mathematical process that involves the use of software and specially designed programs. Data mining is thus also known as Knowledge Discovery in Databases (KDD) since it involves searching for implicit information in large databases. The main kinds of data mining software are: clustering and segmentation software, statistical analysis software, text analysis, mining and information retrieval software and visualization software.

Data mining is gaining a lot of importance because of its vast applicability. It is being used increasingly in business applications for understanding and then predicting valuable information, like customer buying behavior and buying trends, profiles of customers, industry analysis, etc. It is basically an extension of some statistical methods like regression. However, the use of some advanced technologies makes it a decision making tool as well. Some advanced data mining tools can perform database integration, automated model scoring, exporting models to other applications, business templates, incorporating financial information, computing target columns, and more.

Some of the main applications of data mining are in direct marketing, e-commerce, customer relationship management, healthcare, the oil and gas industry, scientific tests, genetics, telecommunications, financial services and utilities. The different kinds of data are: text mining, web mining, social networks data mining, relational databases, pictorial data mining, audio data mining and video data mining.

Some of the most popular data mining tools are: decision trees, information gain, probability, probability density functions, Gaussians, maximum likelihood estimation, Gaussian Baves classification, cross-validation, neural networks, instance-based learning /case-based/ memory-based/non-parametric, regression algorithms, Bayesian networks, Gaussian mixture models, K-Means and hierarchical clustering, Markov models, support vector machines, game tree search and alpha-beta search algorithms, game theory, artificial intelligence, A-star heuristic search, HillClimbing, simulated annealing and genetic algorithms.

Some popular data mining software includes: Connexor Machines, Copernic Summarizer, Corpora, DocMINER, DolphinSearch, dtSearch, DS Dataset, Enkata, Entrieva, Files Search Assistant, FreeText Software Technologies, Intellexer, Insightful InFact, Inxight, ISYS:desktop, Klarity (part of Intology tools), Leximancer, Lextek Onix Toolkit, Lextek Profiling Engine, Megaputer Text Analyst, Monarch, Recommind MindServer, SAS Text Miner, SPSS LexiQuest, SPSS Text Mining for Clementine, Temis-Group, TeSSI®, Textalyser, TextPipe Pro, TextQuest, Readware, Quenza, VantagePoint, VisualText(TM), by TextAI, Wordstat. There is also free software and shareware such as INTEXT, S-EM (Spy-EM), and Vivisimo/Clusty.

Source : http://ezinearticles.com/?Data-Mining&id=196652