文章基本信息

标题：An Implementation of Mining Weighted Association Rules without Preassigned Weights
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作者：Arumalla Nagaraju ; Yallamati Prakasarao ; A.Veeraswamy 等
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：8
出版社：S.S. Mishra
摘要：Association rule mining is a key issue in data mining. However, the classical models ignore the difference between the transactions, and the weig hted association rule mining does not work on databases with only bina ry attributes. In this project, we introduce a new measure w-support, which does not require pre assigned weights. It takes the quality of transactions into consideration using link -based models. A fast mining algorithm is given, and a large amount of experimental results are presented and also compare the support based rules and w-support based rules.
关键词：Association Rule Mining; Data Mining;Pre-processing; Support Based Rules