Deriving strong association mining rules using a dependency criterion, the lift measure
Sikha S. Bagui, Jiri Just, Subhash Bagui · International Journal of Data Analysis Techniques and Strategies · 2009
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.