关联规则的研究是近几年研究较多的数据挖掘方法,在数据挖掘的各种方法中应用也最为广泛。在生产性企业的营销决策支持系统中应用关联规则挖掘数据,通过优化原有的算法可以提高算法效率,有效地得出有价值的规则,从而有力地支持了营销管理者的决策。
The research of association rules is one of the hot methods of data mining in recent years, and it has been most widely applied among various methods of data mining. In application of association rules in data mining in marketing decision support system of enterprises, optimization of the primary Apriori algorithm can improve the efficiency of algorithm and gain valuable rules, therefore support the marketing manager's decision.