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基于含噪音日志的流程挖掘阈值优化设置

Optimal Setting of the Threshold in Mining Process Model from Noised Log

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【作者】 阮莹苏强张国通刘大庆戴红芳张音赟朱岩薛镭

【Author】 RUAN Ying~1,SU Qiang~(1,2,4),ZHANG Guo-tong~3,LIU Da-qing~3DAI Hong-fang~3,ZHANG Yin-bin~3,ZHU Yan~4,XUE Lei~4(1.Department of Industrial Engineering and Logistic Management,Shanghai Jiaotong University,Shanghai 200240,China;2.School of Economics & Management,Tongji University, Shanghai 200092,China;3.Shanghai Seventh People’s Hospital,Shanghai 200137, China;4.School of Economics and Management,Tsinghua University,Beijing 100084,China)

【机构】 上海交通大学工业工程与物流工程系同济大学经济与管理学院清华大学经济管理学院上海市第七人民医院

【摘要】 针对处理日志中噪音数据的启发式流程挖掘算法中阈值设置的不确定性,提出了基于试验设计的阈值优化设置方法.以阈值作为变量,挖掘得到的流程模型与实际日志的符合度作为响应量,通过试验设计分析方法优化阈值的配置,并将该算法应用于医院某病种诊疗流程的挖掘.结果表明,通过该阈值设置方法能挖掘出正确合理的流程模型.

【Abstract】 In view of the uncertainty of the settlement of the threshold in the heuristic process mining method proposed by Aalst to deal with the noise data in the log,a method of optimization settlement of threshold based on design of experiment(DOE) analysis was proposed.The threshold is dealt as variable,and the fitness of the model that is mined as response variable,the goal is to find the most optimal combination of threshold value that will result in the most appropriate workflow model.Finally,this method was applied to mine Caesarean birth diagnosis flow.The result demonstrates that this method can find an optimal combination of threshold that result in an appropriate workflow model.

【基金】 国家自然科学基金资助项目(70672077,70832006);上海交通大学医工(理)交叉研究基金重点项目(YG2007ZD10);清华大学经济管理学院医疗健康管理研究中心资助项目
  • 【文献出处】 上海交通大学学报 ,Journal of Shanghai Jiaotong University , 编辑部邮箱 ,2010年02期
  • 【分类号】TP18
  • 【被引频次】5
  • 【下载频次】196
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