Discovering Frequent Patterns with New Mining Procedure
Data mining also known as Knowledge Discovery and Database (KDD) has been perceived as a new research is for database research. Efficient algorithm to discover frequent pattern are crucial in data mining research. Finding frequent itemsets is computationally the most expensive step in association rule discovery. To address these issues the authors discuss popular techniques for finding frequent itemsets in efficient way. In this paper they provide the survey list of existing frequent itemsets mining techniques and proposing new procedure which having some advantages by comparing with the other algorithms.