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This research aims at studying the discretization based on Chi2 algorithm and visualize technique for association rule mining. Numeric attributes with large distinct values normally do not appear in the association rules. We thus study the discretization method for numeric attributes with the integrated Chi2 algorithm and visualize technique to handle numeric attributes prior to the association analysis phase. We comparatively experiment with our proposed method against existing techniques. The comparative metrics are accuracy and number of rules.

Discretization Based on Chi2 Algorithm and Visualize Technique for Association Rule Mining