Deriving strong association mining rules using a dependency criterion, the lift measure. (16th April 2009)

• Record Type: Journal Article
• Authors: Bagui, Sikha; Just, Jiri; Bagui, Subhash C.
• Is Part Of: International journal of data analysis techniques and strategies. Volume 1:Number 3(2009)
• Page Start: 297
• Page End: 312
• Publication Date: 2009-04-16
• Subjects: frequent pattern mining -- association rule mining -- strong association rules -- dependency criterion -- lift measure -- array list structure; Electronic data processing -- Periodicals; Database searching -- Periodicals; 005
• Languages: English
• ISSNs: 1755-8050

Abstract

Traditional association mining rule algorithms have two major drawbacks: first, there is a need to repeatedly scan the dataset and second, they generate too many association rules. In this paper, we have presented a dependency-based association mining rule algorithm, implemented using an array list structure in JAVA, that does not require more than one scan of the full dataset and generates a lot less strong association mining rules. The additional dependency criterion used was the lift measure.