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Data Mining Using Two-Dimensional Optimized Accociation Rules: Scheme, Algorithms, and Visualization

Data Mining Using Two-Dimensional Optimized Accociation Rules: Scheme, Algorithms, and Visualization,10.1145/233269.233313,Takeshi Fukuda,Yasuhiko Mor

Data Mining Using Two-Dimensional Optimized Accociation Rules: Scheme, Algorithms, and Visualization   (Citations: 110)
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We discuss data mining based on association rules for two numeric attributes and one Boolean attribute. For example, in a database of bank customers, "Age" and "Balance" are two numeric attributes, and "CardLoan" is a Boolean attribute. Taking the pair (Age, Balance) as a point in two-dimensional space, we consider an association rule of the form(( respectively. We have implemented the algorithms for admissible regions, and constructed a system for visualizing the rules.
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