Novel association rule mining algorithm based on immune cluster and competition

By introducing a mechanism of Cluster and Competition,this paper proposes a novel Association rule Mining Algorithm based Immune Cluster and Competition. Raw datas are regarded as antigen and candidate patterns are regarded as antibody. Through the antibody clustering and compete,enhances the antibody's affinity maturation rate and improves the support of candidate patterns. The simulation and real application illustrate that this algorithm can increase the convergence velocity and advance veracity of the association rule,and has the remarkable quality of the global and local research reliability.