文章基本信息

标题：Implementation of Web Usage Mining Using APRIORI and FP Growth Algorithms
本地全文：下载
作者：B.Santhosh Kumar ; K.V.Rukmani
期刊名称：International Journal of Advanced Networking and Applications
电子版ISSN：0975-0290
出版年度：2010
卷号：1
期号：6
页码：400-404
出版社：Eswar Publications
摘要：Web Us age 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. They are web server data, application server data and application level data. Web server data correspond to the user logs that are collected at Web server. Some of the typical data collected at a Web server include IP addresses, page references, and access time of the users and is the main input to the present Research. This Research work concentrates on web usage mining and in particular focuses on discovering the web usage patterns of websites from the server log files. The comparison of memory usage and time usage is compared using Apriori algorithm and Frequent Pattern Growth algorithm
关键词：Apriori; Data cleaning; FP Growth; FP-tree; Web Usage Mining