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Web mining - is the application of data mining techniques to discover patterns from the World Wide Web. Web mining can be divided into three different types – Web usage mining, Web content mining and Web structure mining. ==Web usage mining== Web Usage Mining is the application of data mining techniques to discover interesting usage patterns from Web data in order to understand and better serve the needs of Web-based applications. Usage data captures the identity or origin of Web users along with their browsing behavior at a Web site. Web usage mining itself can be classified further depending on the kind of usage data considered: * Web Server Data: The user logs are collected by the Web server. Typical data includes IP address, page reference and access time. * Application Server Data: Commercial application servers have significant features to enable e-commerce applications to be built on top of them with little effort. A key feature is the ability to track various kinds of business events and log them in application server logs. * Application Level Data: New kinds of events can be defined in an application, and logging can be turned on for them thus generating histories of these specially defined events. It must be noted, however, that many end applications require a combination of one or more of the techniques applied in the categories above. Studies related to work (et al. ) are concerned with two areas: constraint-based data mining algorithms applied in Web Usage Mining and developed software tools (systems). Costa and Seco demonstrated that web log mining can be used to extract semantic information (hyponymy relationships in particular) about the user and a given community. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Web mining」の詳細全文を読む スポンサード リンク
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