期刊名称：International Journal of Electronics and Computer Science Engineering
电子版ISSN：2277-1956
出版年度：2014
卷号：3
期号：1
页码：57-61
出版社：Buldanshahr : IJECSE
摘要：Web mining is the application of data mining techniques to extract knowledge from Web. Web mining has been explored to a vast degree and different techniques have been proposed for a variety of applications that includes Web Search, Classification and Personalization etc.The primary goal of the web site is to provide the relevant information to the users. Web mining technique is used to categorize users and pages by analyzing users behavior, the content of pages and order of URLs accessed. In this paper, proposes an auto-classification algorithm of web pages using data mining techniques. The problem of discovering association rules between terms in a set of web pages belonging to a category in a search engine database, and present an auto – classification algorithm for solving this problem that are fundamentally based on FP-growth algorithm
关键词：Association;Rules; Auto- Classification FP – growth; Web Mining; WWW
