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A repairing missing activities approach with succession relation for event logs

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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.

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Notes

  1. http://www.promtools.org/doku.php?id=prom67.

  2. http://www.processmining.org/event_logs_and_models_used_in_book.

  3. http://www.promtools.org/doku.php?id=promlite12.

  4. http://www.processmining.org/event_logs_and_models_used_in_book.

  5. https://data.4tu.nl/repository/uuid:76c46b83-c930-4798-a1c9-4be94dfeb741.

  6. https://data.4tu.nl/repository/uuid:3926db30-f712-4394-aebc-75976070e91f.

  7. https://data.4tu.nl/repository/uuid:c923af09-ce93-44c3-ace0-c5508cf103ad.

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Authors and Affiliations

  1. College of Computer Science and Technology, China University of Petroleum (East China), Tsingdao, China

    Jie Liu & Jiuyun Xu

  2. The China Mobile (Suzhou) Software Technology Company, Suzhou, China

    Ruru Zhang

  3. School of Electronics, Computing and Maths, University of Derby, Derby, UK

    Stephan Reiff-Marganiec

Authors
  1. Jie Liu
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  2. Jiuyun Xu
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  3. Ruru Zhang
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  4. Stephan Reiff-Marganiec
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Correspondence to Jiuyun Xu.

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Liu, J., Xu, J., Zhang, R. et al. A repairing missing activities approach with succession relation for event logs. Knowl Inf Syst 63, 477–495 (2021). https://doi.org/10.1007/s10115-020-01524-6

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