Abstract: This paper indicates some specific status of card business transaction, and then discusses the method of mining outlier data on the basis of rule. It also proposes a total solution of outlier data detection system based on rule metadata and proves the efficiency of the system using actual banking data.

摘要： 分析了银行卡业务中的异常交易情况,提出了基于规则库的异常数据的挖掘方法和途径,给出了异常数据分析系统的完整实现方 案,并通过实际数据的验证来说明该方法的有效性。

关键词: 异常数据, 数据挖掘, 交易日志, 规则, Apriori算法

CLC Number: 

• F830.49