基于约束关联规则挖掘方法的研究与应用

关联规则挖掘应用于商业等领域,它能发现大量数据中的关联关系,为制定决策提供重要信息。将关联规则应用于客户关系管理,深化CRM的分析功能。针对企业要求和交叉销售的特点,分析基于约束关联规则挖掘方法,提出基于约束的FP-growth算法。分析表明,在CRM中应用基于约束关联规则挖掘方法,可以为企业制定销售策略提供有效的依据。

Research and Application of Constraint-based Association Rule Mining

Using association rule mining can find the association from huge amount of data in business or other filed.It provides the important information to decision-making.Applying association rule mining to CRM can deepen the analytic function of CRM.According to the enterprises'needs and the characteristics of cross-selling,a constraint-based FP-growth algorithm is presented after analyzing the constraint-based association rule mining.The application of constraint-based association rule mining in CRM can effectively support enterprises to make merchandise planning.