Discovery of interesting association rules based on web usage mining

doi:10.1109/MEDIACOM.2010.82

	Discovery of interesting association rules based on web usage mining
	Peng, Huiping
	2010
会议录名称	Proceedings - 2010 International Conference on Multimedia Communications, Mediacom 2010
页码	272-275
出版者	IEEE Computer Society
摘要	Mining of association rules is an important research topic in web usage mining. The purpose of this paper is to research how to dig interesting association rules effectively from the Web logs after been preprocessed. Firstly, using the FP-growth algorithm for processing the web log records, obtaining a set of frequent access patterns, then using the combination of browse interestingness and site topology interestingness of association rules for web mining, discovering a new pattern to provide valuable data for the site construction. © 2010 IEEE.
关键词	Association rules Blogs Electronic document exchange Multimedia systems FP-growth algorithm Frequent access patterns Interestingness Mining of association rules Research topics Site construction Web Mining Web usage mining
DOI	10.1109/MEDIACOM.2010.82
收录类别	EI
语种	英语
EI入藏号	20110813694823
文献类型	会议论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/9872
专题	信息工程与人工智能学院
作者单位	Information Engineering School of Lanzhou, University of Finance and Economics, Lanzhou, China
推荐引用方式 GB/T 7714	Peng, Huiping. Discovery of interesting association rules based on web usage mining[C]:IEEE Computer Society,2010:272-275.