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Deriving strong association mining rules using a dependency criterion, the lift measure


  • Sikha Bagui
  • Jiri Just
  • Subhash C. Bagui


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.

Suggested Citation

  • Sikha Bagui & Jiri Just & Subhash C. Bagui, 2009. "Deriving strong association mining rules using a dependency criterion, the lift measure," International Journal of Data Analysis Techniques and Strategies, Inderscience Enterprises Ltd, vol. 1(3), pages 297-312.
  • Handle: RePEc:ids:injdan:v:1:y:2009:i:3:p:297-312

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