Hybrid search based association rule mining

Abstract

Association rule mining algorithms provide different search strategies to discover the frequent itemsets; however the problem of large search space is still hard to handle. The present paper suggests a novel hybrid search technique based on reducing the search space, I/O, and CPU times. This can improve the performance up to several orders of magnitude compared to APRIORI algorithm.