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dc.contributor.authorLiu, Jie
dc.contributor.authorXu, Jiuyun
dc.contributor.authorZhang, Ruru
dc.contributor.authorReiff-Marganiec, Stephan
dc.date.accessioned2020-12-14T16:16:17Z
dc.date.available2020-12-14T16:16:17Z
dc.date.issued2020-11-11
dc.identifier.citationLiu, J., Xu, J., Zhang, R. and Reiff-Marganiec, S., (2020). 'A repairing missing activities approach with succession relation for event logs'. Knowledge and Information Systems, pp. 1-19.en_US
dc.identifier.doi10.1007/s10115-020-01524-6
dc.identifier.urihttp://hdl.handle.net/10545/625467
dc.description.abstractIn the field of process mining, it is worth noting that process mining techniques assume that the resulting event logs can not only continuously record the occurrence of events but also contain all event data. However, like in IoT systems, data transmission may fail due to weak signal or resource competition, which causes the company’s information system to be unable to keep a complete event log. Based on a incomplete event log, the process model obtained by using existing process mining technologies is deviated from actual business process to a certain degree. In this paper, we propose a method for repairing missing activities based on succession relation of activities from event logs. We use an activity relation matrix to represent the event log and cluster it. The number of traces in the cluster is used as a measure of similarity calculation between incomplete traces and cluster results. Parallel activities in selecting pre-occurrence and post-occurrence activities of missing activities from incomplete traces are considered. Experimental results on real-life event logs show that our approach performs better than previous method in repairing missing activities.en_US
dc.description.sponsorshipN/Aen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.urlhttps://link.springer.com/article/10.1007/s10115-020-01524-6en_US
dc.subjectProcess Miningen_US
dc.subjectBusiness Process Managementen_US
dc.subjectLog Repairsen_US
dc.titleA repairing missing activities approach with succession relation for event logsen_US
dc.typeArticleen_US
dc.identifier.eissn0219-3116
dc.contributor.departmentChina University of Petroleumen_US
dc.contributor.departmentThe China Mobile (Suzhou) Software Technology Company, Suzhou, Chinaen_US
dc.contributor.departmentUniversity of Derbyen_US
dc.identifier.journalKnowledge and Information Systemsen_US
dcterms.dateAccepted2020-10-18
dc.author.detail787028en_US


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