Hybrid Association Rule Mining using AC Tree

Abstract

In recent years, discovery of association rules among item sets in large database became popular. It gains its attention on research areas. Several association rule mining algorithms were developed for mining frequent item set. In this papers, a new hybrid algorithm for mining multilevel association rules called AC Tree i.e., AprioriCOFI tree was developed. This algorithm helps in mining association rules at multiple concept levels. The proposed algorithm works faster compared to traditional association rule mining algorithm and it is efficient in mining rules from large text documents.

Keywords: Association rules, Apriori, FP tree, COFI tree, Concept hierarchy.