WEB MINING

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Web
Now a day the internet, otherwise called the web, is widely used in several fields. The advent of e-Commerce has revolutionized several business industries such as banking and insurance.
You can get information studies and communicate with educational institutions. Because of the dynamic nature of the web, you may face challenges to locate any specific domain of information.
Mining
Mining is a technique of information or knowledge discovery from millions of sources across the Web
Web Mining:
Web mining is a specialized application of data mining. The web mining is a technique to process information available on web and search for useful data. Web mining enables you to discover web pages, text documents, multimedia files, images and other types of resources from web. Web mining is widely used in several fields. The various fields where web mining is applied are:
 E-Commerce
 Information filtering
 Fraud detection
 Plagiarism detection
 Education and research
 E-Commerce
 In e-commerce, web mining helps in generating user profiles by customizing the choice of users. For example, web mining enables a user to search for an advertisement and information regarding a product of his interest. Internet advertising is one of the major fields in e-commerce, where web mining is widely used. Advertising in a specific domain of an e-commerce web site or a general web site and is considered as one of the major application area of web mining.
 Information filtering
 Information filtering is the method to identify the most important results from a list of discovered frequent set of data items for which you can make use of web mining.
 Fraud detection
 Fraud detection can be performed using web mining by maintaining a list of signatures of all the users. Web mining is also applied for plagiarism detection and research works.
The problems and difficulties in Web mining are
The size and span of World Wide Web (WWW) is huge and very wide. Thus it takes time to explore such a large volume of data.
The web is widely distributed so that any break in communication links results in break in the web mining process.
The information available in the web is highly dynamic and your web mining tools need to locate a specific part of the available information.
The online web documents contain several unstructured and semi structured data, which is difficult to process in comparison to structured data.
Interconnection of web pages may create difficulties in web mining. While searching for a topic, if you navigate between the linked web sites referred to as hyperlink, you may fall in an infinite loop.
Hidden web resources cannot be located easily and are difficult targets for retrieving information.
Scope to present customized data to individual users is limited.
Web Mining Tasks and Characteristics
The general techniques and algorithms of data mining are also applicable in web mining. Web mining tasks can be decomposed into four subtasks:
Resource Searching: Indicates the task of retrieving documents from the web.
Information selection: denotes automatic extraction of information from the web documents. Several web mining tools such as Web Miner are available to perform this task.
Generalization of patterns: Denotes automatic discovery of patterns across multiple web sites.
Analysis of web documents: Denotes validation and analysis of the extracted patterns.