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Journal article
Deriving strong association mining rules using a dependency criterion, the lift measure
International Journal of Data Analysis Techniques and Strategies, Vol.1(3), pp.297-312
03/31/2009
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.
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Details
- Title
- Deriving strong association mining rules using a dependency criterion, the lift measure
- Publication Details
- International Journal of Data Analysis Techniques and Strategies, Vol.1(3), pp.297-312
- Resource Type
- Journal article
- Publisher
- Inderscience Publishers Ltd; Switzerland
- Copyright
- © Inderscience Publishers Ltd
- Identifiers
- 99380178995906600
- Academic Unit
- Mathematics and Statistics; Hal Marcus College of Science and Engineering ; Computer Science
- Language
- English