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

Journal of Shanghai Jiaotong University

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

RUAN Ying1,SU Qiang1,2，4，ZHANG Guotong3,LIU Daqing3DAI Hongfang3,ZHANG Yinbin3,ZHU Yan4,XUE Lei4

(1.Department of Industrial Engineering and Logistic Management, Shanghai JiaotongUniversity,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)

Received:2009-03-05 Revised:1900-01-01 Online:2010-02-26 Published:2010-02-26

Abstract

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.

CLC Number:

TP 18

RUAN Ying1,SU Qiang1,2，4，ZHANG Guotong3,LIU Daqing3DAI Hongfang3,ZHANG Yinbin3,ZHU Yan4,XUE Lei4. Optimal Setting of the Threshold in Mining Process Model from Noised Log [J]. Journal of Shanghai Jiaotong University.

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

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