Research on an Improved Association Rule Mining Algorithm

Abstract

Data mining association rules is an important role of data mining because of its wide applicability in market analysis by expressing how tangible products and services relate to each other and how rend to group together. The paper proposed Apriori algorithm of riddling compression. And has carried on the simulation, the result demonstrated the Apriori algorithm of riddling compression can improve the efficiency greatly. It can greatly reduce the candidate frequent itemsets, keeps the completion of frequent itemsets, reduces the cost of computing, and improve the efficiency of algorithm.