Mining for Patterns Based on Contingency Tables by KL-Miner – First Experience
A new datamining procedure called KL-Miner is presented. The procedure mines for various patterns based on evaluation of two–dimensional contingency tables, including patterns of statistical or information theoretic nature. The procedure is aresult of continued development of the academic system LISp-Miner for KDD.
KeywordsContingency Table Association Rule Data Matrix Partial Condition Relevant Condition
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