期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：1
页码：616-618
语种：English
出版社：Ayushmaan Technologies
摘要：Now a day’s association rule mining is one of the important key issues in data mining to extract the information from databases. In this paper, 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. W-support, a new measure of item sets in databases with only binary attributes. These weights are completely derived from the internal structure of the database based on the assumption that good transactions consist of good items. Finally fast mining algorithm is given, and a large amount of experimental results are presented.
