期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2016
卷号：7
期号：1
页码：278-280
出版社：TechScience Publications
摘要：Association rule mining deals with discoveringassociations between n itemsets in transactions. It is one of themost important data mining task. Association rules arecreated by analysing data for frequent patterns. Typicalassociation rules consider only items involved in transactions.Such rules are referred to as positive association rules whilenegative association rules consider same items but alsoconsider negated items which are absent from transactions.Negative association rules are very useful in some spatialproblems and are capable of extracting some useful andpreviously unknown hidden information. In this research, arule mining system has been proposed that provides efficientsolution to positive and negative association rule computationon XML data using AJAX with the application of Top-K to getthe top-k association rules.
关键词：association rule mining”; “positive rules”;“negative rules”; “AJAX”; “top-k association rules”.
