嵌入式数据挖掘模型及其在银行卡业务中的应用

Embedded data mining model and its application in bank card bussiness

针对现有数据挖掘体系结构松散揭合、算法运行效率不高的问题,提出了嵌入式数据挖掘模型。该模型实现了算法的组件化管理,并将整个数据挖掘流程控制在数据库、数据仓库中,在简化数据挖掘过程的同时,大大提高了数据挖掘的效率。通过对几种典型数据挖掘算法在银行卡业务数据中的试验,证实了该模型的有效性和实用性。

Aimed at improving the coupling degree between data mining systems and data warehouse systems,and enhancing the efficiency of data mining,We advance embedded data mining model,which implements the modularize of algorithm,and embeds data mining systems and the whole data mining process into the data warehouses,At the same time simplifying the processor of data mining,which has greatly enhanced the efficiency of data mining.Through the test of several typical data mining algorithms used in bank card business data,we have confirmed the validity and usefulness of the model.