Explanation of Anomalies in Business Process Event Logs with Linguistic Summaries

S. Chouhan*, A. Wilbik, R. Dijkman

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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Abstract

Business process event logs consist of the actual process followed by employees of a business by which the event log was generated. Activities in a business process are completed in a non-uniform manner and in settings where fault occurrences are inevitable. Such faults, or deviation from the defined process, can be considered anomalies in the process data. Over the years, several anomaly detection methods have been proposed to detect and filter out such anomalies from an event log. However, little attention has been given to finding out what caused these anomalies and why they were considered anomalies. This paper focuses on this unaddressed topic and proposes a method to provide model-agnostic post-hoc explanations of the detected anomalies by using linguistic summaries.
Original languageEnglish
Title of host publication2022 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE)
PublisherIEEE
Number of pages7
ISBN (Print)9781665467100
DOIs
Publication statusPublished - 2022
EventIEEE International Conference on Fuzzy Systems - Padua, Italy
Duration: 18 Jul 202223 Jul 2022

Publication series

SeriesIEEE International Fuzzy Systems Conference Proceedings
ISSN1544-5615

Conference

ConferenceIEEE International Conference on Fuzzy Systems
Abbreviated titleFUZZ-IEEE 2022
Country/TerritoryItaly
CityPadua
Period18/07/2223/07/22

Keywords

  • linguistic summarization
  • explanation
  • event logs
  • anomaly detection
  • VOXEL PERSON
  • FUZZY

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