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Web mining is the application of data mining techniques to discover usage patterns from the Web. There are three different types of web mining, which are web usage mining, web content mining and web structure mining.
Web usage mining In order to better understand and serve the needs of users or Web-based applications. It is an activity that involves the automatic discovery of patterns from one or more Web servers. Organizations often generate and collect large volumes of data; most of this information is usually generated automatically by Web servers and collected in server access logs. Analyzing such data can help these organizations to determine the value of particular customers, cross marketing strategies across products and the effectiveness of promotional campaigns, etc. The first web analysis tools simply provided mechanisms to report user activity as recorded in the servers. Using such tools, it was possible to determine such information as the number of accesses to the server, the times or time intervals of visits as well as the domain names and the URLs of users of the Web server. However, in general, these tools provide little or no analysis of data relationships among the accessed files and directories within the Web space. Now more sophisticated techniques for discovery and analysis of patterns are now emerging. These tools fall into two main categories: Pattern Discovery Tools and Pattern Analysis Tools. Web mining is different from web content mining. The Web mining acquires all sorts of relevant web documents to a temporary register which may be done by the Intelligent web crawlers of an efficient search engines. Software | ||||||||
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