A Novel Association Rule Mining Based on Immune Computational Intelligence
By inspiration of immune computational intelligence, a novel association rule mining algorithm based immune clonal and cluster was proposed. Aim at the efficiency problem of association rules mining,raw data is regarded as antigen and candidate pattern is regarded as antibody, enhancing the antibodys affinity maturation rate and improving the support of candidate patterns through the cluster competition operation. The simulation and real application illustrate 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.
association rule mining cluster and competition clonal selection data mining
Xuesong Xu Sichun Wang
Institute of Management Engineering,Information College of Hunan University of Commerce,Changsha, China
国际会议
无锡
英文
262-270
2010-09-17（万方平台首次上网日期，不代表论文的发表时间）