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What is Web usage mining?
Web usage mining is used to derive useful data, information, knowledge from the weblog data, and helps in identifying the user access designs for web pages.
In Mining, the management of web resources, the individual is thinking about data of requests of visitors of a website that are composed as web server logs. While the content and mechanism of the set of web pages follow the intentions of the authors of the pages, the single requests shows how the users view these pages. Web usage mining can disclose relationships that were not suggested by the designer of the pages.
A web server generally registers a (Web) log entry, or Weblog entry, for each access of a Web page. It contains the URL requested, the IP address from which the request introduced, and a timestamp.
For Web-based e-commerce servers, a large number of Web access log data are being collected. There are famous websites can register Weblog records in the order of thousands of megabytes each day. Weblog databases supports rich data about Web dynamics. Therefore it is essential to produce sophisticated Weblog mining approaches.
In developing methods for Web usage mining, it can consider the following. First, although it is encouraging and stimulating to conceive the several applications of Weblog file analysis. It is essential to understand that the success of such applications based on what and how much true and reliable knowledge can be find from the large raw log records.
Second, with the available URL, time, IP address, and web page content data, a multidimensional view can be built on the Weblog database, and multidimensional OLAP analysis can be implemented to discover the top N users, top N accessed Web pages, most generally accessed time periods, etc., which will help find potential customers, users, markets, etc.
Third, data mining can be implemented on Weblog records to discover association patterns, sequential patterns, and trends of Web accessing. For Web access pattern mining, it is essential to take further measures to obtain more data of user traversal to simplify accurate Weblog analysis.
Such more data can include user-browsing sequences of the web pages in the internet server buffer. With the need of such weblog documents, studies have been directed on analyzing system implementation, enhancing system design by web caching, web page prefetching, and web page swapping; understanding the feature of Web traffic; and understanding customer reaction and motivation.
For instance, some studies have proposed adaptive sites − websites that enhance themselves by understanding from user access patterns. Weblog analysis can also help construct customized web services for single users.
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