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Effa: a proM plugin for recovering event logs

Published: 18 September 2016 Publication History

Abstract

While event logs generated by business processes play an increasingly significant role in business analysis, the quality of data remains a serious problem. Automatic recovery of dirty event logs is desirable and thus receives more attention. However, existing methods only focus on missing event recovery, or fall short of efficiency. To this end, we present Effa, a ProM plugin, to automatically recover event logs in the light of process specifications. Based on advanced heuristics including process decomposition and trace replaying to search the minimum recovery, Effa achieves a balance between repairing accuracy and efficiency.

References

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X.M. Liu. Unraveling and learning workflow models from interleaved event logs. In ICWS, 2014.
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J.M. Wang, S.X. Song, X.C. Zhu, and X.M. Lin. Efficient recovery of missing events. PVLDB, 2013.
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M. de Leoni, F. M. Maggi, and W. M. P. van der Aalst. Aligning event logs and declarative process models for conformance checking. In BPM, 2012.
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W. Song, X.X. Xia, H. A. Jacobsen, P.C. Zhang, and H. Hu. Efficient alignment between event logs and process models. IEEE Trans. Services Computing, PrePrints.
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Prom. http://www.processmining.org/prom/start.
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A.Rogge-Solti, R. Mans, W.M.P. van der Aalst, and M. Weske. Improving documentation by repairing event logs. In PoEM, 2013.
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W. Song, X.X. Xia, H. A. Jacobsen, P.C. Zhang, and H. Hu. Heuristic recovery of missing events in process logs. In ICWS, 2015.
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Tutorial. https://svn.win.tue.nl/trac/prom/wiki/setup/HowToCreatePluginsInProM.
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Prom project svn repository. https://svn.win.tue.nl/repos/prom/Framework/trunk/.

Cited By

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  • (2023)Pattern Based Sequence ClassificationInternational Journal of Advanced Research in Science, Communication and Technology10.48175/IJARSCT-12057(390-396)Online publication date: 12-Jul-2023
  • (2020)Quality Event Log to Intention Mining: A Study Case2020 International Conference on Computer Science, Engineering and Applications (ICCSEA)10.1109/ICCSEA49143.2020.9132856(1-6)Online publication date: Mar-2020

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cover image ACM Other conferences
Internetware '16: Proceedings of the 8th Asia-Pacific Symposium on Internetware
September 2016
118 pages
ISBN:9781450348294
DOI:10.1145/2993717
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 September 2016

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Author Tags

  1. event logs
  2. minimum recovery
  3. proM
  4. process decomposition
  5. trace replaying

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Internetware '16

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Overall Acceptance Rate 55 of 111 submissions, 50%

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Cited By

View all
  • (2023)Pattern Based Sequence ClassificationInternational Journal of Advanced Research in Science, Communication and Technology10.48175/IJARSCT-12057(390-396)Online publication date: 12-Jul-2023
  • (2020)Quality Event Log to Intention Mining: A Study Case2020 International Conference on Computer Science, Engineering and Applications (ICCSEA)10.1109/ICCSEA49143.2020.9132856(1-6)Online publication date: Mar-2020

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