An Efficient Reduced Pattern Count Tree Method for Discovering Most Accurate Set of Frequent itemsets

摘要

Discovery of association rules from large volumes of data is an important Data Mining problem. In this paper a novel method for discovering most accurate set of frequent itemsets using partition algorithm is implemented. This method uses the concept of Re