针对银行全成本分析的业务特点和数据挖掘各种算法的应用特征,提出了基于关联规则的分类算法在银行全成本分析系统中的分析模型。将此模型与其他机器学习分类算法进行实验比较,得出此算法在该领域的最佳效果,所挖掘出的规则得到银行工作人员的肯定。
According to the operational characteristics of bank cost analysis, this paper proposed an anslysis model for it, using association rule bases classification algorithm. By real bank product data, performed the comparison experiments among this model and other machine learning algorithms. The results show that this model yields the best performance for classification, and the mined rules from this model is also agreed by professional bank staffs.