基于工作流日志的决策规则挖掘研究  

Research on decision rule mining based on workflow logs

作　　者：高昂[1] 杨扬[1] 张静乐[1] 王玥薇[1,2] 

机构地区：[1]北京科技大学信息工程学院,北京100083 [2]公安海警高等专科学校,浙江宁波315801

出　　处：《计算机应用研究》2009年第11期4104-4107,共4页Application Research of Computers

基　　金：国家自然科学基金资助项目(60673160,60873192);国家“863”计划资助项目(2007AA01Z234)

摘　　要：为了挖掘工作流日志中的决策规则信息,分析了工作流日志中的数据属性如何影响工作流实例的路径选择。基于算法挖掘工作流日志过程模型,对过程模型中的决策点进行分析,通过决策树分析技术结合工作流日志中的数据属性挖掘出影响工作流实例路由的决策规则。分析了现实应用中决策规则挖据所遇到的问题,并提出解决算法。最后通过测试程序测试并验证了挖掘过程。测试结果表明该算法能够正确地挖掘出决策规则。In order to mining the decision rule from workflow logs, this paper analyzed how data attributes influence the choices made in the process instances based on workflow logs. Mining process model in workflow logs based on α-algorithm, analyzed the decision point in process model, detection decision rule that affected the routing of a case through techniques based on decision tree analyze and data attributes in the workflow logs. Discussed problems related to real-life decision rule mining, presented an improved algorithm. To verify the presented ideas a test program had been implemented. The test result shows the alogrithm can correctly mining the decision rule from workflow logs.

关 键 词：过程挖掘 决策挖掘 隐藏活动 重复活动 决策树 决策规则 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]