A comprehensive study of web usage mining
Monika Dhandi, Rajesh Kumar Chakrawarti
Abstract
Monika Dhandi, Rajesh Kumar Chakrawarti
Abstract
Web usage mining is a task of data mining of web data that extract knowledge about web users and how these users interacting with the web site. Our motive of web usage mining is to provide web intelligence by discovering users' access patterns of web pages, such as frequently visited hyperlinks, frequently accessed web pages, popular access sequence of web pages, and users grouping etc., automatically and quickly from the huge sever access log records. Through web usage mining, we can mine the server log data, registration information of users and other relative information left by user access. This data will provide base for analysis which helps the organization to make decisions and to personalize the web pages.
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Web usage mining is a task of data mining of web data that extract knowledge about web users and how these users interacting with the web site. Our motive of web usage mining is to provide web intelligence by discovering users' access patterns of web pages, such as frequently visited hyperlinks, frequently accessed web pages, popular access sequence of web pages, and users grouping etc., automatically and quickly from the huge sever access log records. Through web usage mining, we can mine the server log data, registration information of users and other relative information left by user access. This data will provide base for analysis which helps the organization to make decisions and to personalize the web pages.
Key concepts: Web mining, Computer science, World Wide Web, Web page, Data Web, Static web page, Web navigation, Web intelligence