Abstract

The process of exploring and analyzing data from different perspective, using automatic or semiautomatic techniques is called Data mining. Data mining extracts knowledge or useful information and discovers correlations or meaningful patterns and rules from large databases [1, 2]. Using these patterns and rules it is possible for business enterprises to identify new and unexpected trends, subtle relations in the data and use them to increase revenue and cut cost. In this paper we proposed a comparative study over Progressive Partition Miner (PPM) and Progressive Weighted miner (PWM).

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