Research of association rule algorithm based on data mining

Association rule data mining is an important part in the field of data mining data mining, its algorithm performance directly affects the efficiency of data mining and the integrity, effectiveness of ultimate data mining results. Based on the existing association rule mining algorithms, this paper studies and analyzes their efficiency and effectiveness, and according to the efficiency defects of Apriorialgorithm, proposes an improved algorithm. This algorithm can reduce the data base I /Operation time, improve mining efficiency.