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Efficient Deviation Detection Between a Process Model and Event Logs

查看全文 作　　者：Lu [1]Wang;Yuyue [2]Du;Liang [1]Qi 高影响力作者 机构地区：[1]the College of Computer Science and Engineering,Shandong University of Science and Technology,Qingdao 266590,China;[2]Shandong Province Key Laboratory of Wisdom Mine Information Technology,Shandong University of Science and Technology,Qingdao 266590,China高影响力机构 出　　处：《IEEE/CAA Journal of Automatica Sinica》索引2019年第6卷第6期,共13页高影响力期刊 基　　金：supported by the National Natural Science Foundation of China(61170078,61472228,61903229,61902222);the “Taishan Scholar” Construction Project of Shandong Province,China,the Natural Science Foundation of Shandong Province(ZR2018MF001);the Scientific Research Foundation of Shandong University of Science and Technology for Recruited Talents(2017RCJJ044);the Key Research and Development Program of Shandong Province(2018GGX101011) 摘　　要：Business processes described by formal or semi-formal models are realized via information systems.Event logs generated from these systems are probably not consistent with the existing models due to insufficient design of the information system or the system upgrade.By comparing an existing process model with event logs,we can detect inconsistencies called deviations,verify and extend the business process model,and accordingly improve the business process.In this paper,some abnormal activities in business processes are formally defined based on Petri nets.An efficient approach to detect deviations between the process model and event logs is proposed.Then,business process models are revised when abnormal activities exist.A clinical process in a healthcare information system is used as a case study to illustrate our work.Experimental results show the effectiveness and efficiency of the proposed approach. 关 键 词：DETECT DEVIATIONS event LOG MODEL repair PETRI net process MODEL
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