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


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  • Sikha Bagui
  • Jiri Just
  • Subhash C. Bagui
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    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.

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    Bibliographic Info

    Article provided by Inderscience Enterprises Ltd in its journal Int. J. of Data Analysis Techniques and Strategies.

    Volume (Year): 1 (2009)
    Issue (Month): 3 ()
    Pages: 297-312

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    Handle: RePEc:ids:injdan:v:1:y:2009:i:3:p:297-312

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    Related research

    Keywords: frequent pattern mining; association rule mining; strong association rules; dependency criterion; lift measure; array list structure.;


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