文章基本信息

标题：Weighted Association Rule Mining without Pre Assigned Weights for Web Log Analysis
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作者：A.Gomathi ; V. Priya dharshini ; S. Shanthi 等
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：4
期号：9-4
出版社：Seventh Sense Research Group
摘要：The Aim of the Association rule mining is to analyze a large transaction database in order to find the relationships among the data attributes or items. Moreover the Association rule Mining is one of the thriving research topic in Data Mining. The traditional model of Association rule Mining aids with the support measure. Also the measure considers every transaction alike. Conversely, each transaction has variable weights in real time. Pre assigned weight plays a vital role in Association rule mining. The proposed system introduces an innovative measure wsupport, which does not in requirement of pre assigned weights. It focuses the quality of transactions into consideration using linkbased models. A fast mining algorithm is designed, and a large amount of experiments are conducted. The system can also enhance for web log analysis.
关键词：HITS;W-support;W-confidence