Deriving strong association mining rules using a dependency criterion, the lift measure
AbstractTraditional 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 InfoArticle provided by Inderscience Enterprises Ltd in its journal Int. J. of Data Analysis Techniques and Strategies.
Volume (Year): 1 (2009)
Issue (Month): 3 ()
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Web page: http://www.inderscience.com/browse/index.php?journalID=282
frequent pattern mining; association rule mining; strong association rules; dependency criterion; lift measure; array list structure.;
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