This paper presents a cluster method for discretization in the processing of mining quantitative association rules. Many efficient algorithms for mining association rules were presented in recent years. But association rules containing quantitative attributes is still a bottle neck in these works. Agrawal presented partial k completeness method for partitioning. Fukuda presented the equi depth partitioning and algorithm based on gaining optimized regions. Current method doesn't work very well on hig...
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