关键词: 关联规则, 人工蜂群, 小生境, 高血压

Abstract: The paper deals with efficient mining association rules in large data sets of TCM clinical data of the hypertension.Aiming at the problems that TCM clinical data exist among a great deal of data and high association characteristics，which lead to the problem of low efficiency，slow convergence and omission rules while traditional methods mining association rules，a new combined method is proposed based on niche technology and artificial bee colony.The method designs the penalty function to set threshold，uses niche technology to finish evolution and integration and combines with the advantage of simple and robust of artificial bee colony which solves the problem of algorithm premature and redundancy rules.The medical treatment records of hypertension are verified by the experiments.Experimental results show that compared with traditional association rules mining method，the algorithm performs better in terms of diversity of population and discovering more effective association rules.The mining result has reference value in TCM treatment of the hypertension.

Key words: association rules, artificial bee colony, niche, hypertension