A repairing missing activities approach with succession relation for event logs

Journal article


Liu, Jie, Xu, Jiuyun, Zhang, Ruru and Reiff-Marganiec, Stephan 2020. A repairing missing activities approach with succession relation for event logs. Knowledge and Information Systems. https://doi.org/10.1007/s10115-020-01524-6
AuthorsLiu, Jie, Xu, Jiuyun, Zhang, Ruru and Reiff-Marganiec, Stephan
Abstract

In 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.

KeywordsProcess Mining; Business Process Management; Log Repairs
Year2020
JournalKnowledge and Information Systems
PublisherSpringer
ISSN0219-3116
Digital Object Identifier (DOI)https://doi.org/10.1007/s10115-020-01524-6
Web address (URL)http://hdl.handle.net/10545/625467
hdl:10545/625467
Publication dates11 Nov 2020
Publication process dates
Deposited14 Dec 2020, 16:16
Accepted18 Oct 2020
ContributorsChina University of Petroleum, The China Mobile (Suzhou) Software Technology Company, Suzhou, China and University of Derby
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