Profiling event logs to configure risk indicators for process delays

A. Pika, W.M.P. Aalst, van der, C.J. Fidge, A.H.M. Hofstede, ter, M.T. Wynn

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

12 Citations (Scopus)

Abstract

Risk identification is one of the most challenging stages in the risk management process. Conventional risk management approaches provide little guidance and companies often rely on the knowledge of experts for risk identification. In this paper we demonstrate how risk indicators can be used to predict process delays via a method for configuring so-called Process Risk Indicators (PRIs). The method learns suitable configurations from past process behaviour recorded in event logs. To validate the approach we have implemented it as a plug-in of the ProM process mining framework and have conducted experiments using various data sets from a major insurance company.
Original languageEnglish
Title of host publicationAdvanced Information Systems Engineering (25th International Conference, CAiSE 2013, Valencia, Spain, June 17-21, 2013. Proceedings)
EditorsC. Salinesi, M.C. Norrie, O. Pastor
Place of PublicationBerlin
PublisherSpringer
Pages465-481
ISBN (Print)978-3-642-38708-1
DOIs
Publication statusPublished - 2013

Publication series

NameLecture Notes in Computer Science
Volume7908

Fingerprint

Risk management
Insurance
Industry
Experiments

Cite this

Pika, A., Aalst, van der, W. M. P., Fidge, C. J., Hofstede, ter, A. H. M., & Wynn, M. T. (2013). Profiling event logs to configure risk indicators for process delays. In C. Salinesi, M. C. Norrie, & O. Pastor (Eds.), Advanced Information Systems Engineering (25th International Conference, CAiSE 2013, Valencia, Spain, June 17-21, 2013. Proceedings) (pp. 465-481). (Lecture Notes in Computer Science; Vol. 7908). Berlin: Springer. https://doi.org/10.1007/978-3-642-38709-8_30
Pika, A. ; Aalst, van der, W.M.P. ; Fidge, C.J. ; Hofstede, ter, A.H.M. ; Wynn, M.T. / Profiling event logs to configure risk indicators for process delays. Advanced Information Systems Engineering (25th International Conference, CAiSE 2013, Valencia, Spain, June 17-21, 2013. Proceedings). editor / C. Salinesi ; M.C. Norrie ; O. Pastor. Berlin : Springer, 2013. pp. 465-481 (Lecture Notes in Computer Science).
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Pika, A, Aalst, van der, WMP, Fidge, CJ, Hofstede, ter, AHM & Wynn, MT 2013, Profiling event logs to configure risk indicators for process delays. in C Salinesi, MC Norrie & O Pastor (eds), Advanced Information Systems Engineering (25th International Conference, CAiSE 2013, Valencia, Spain, June 17-21, 2013. Proceedings). Lecture Notes in Computer Science, vol. 7908, Springer, Berlin, pp. 465-481. https://doi.org/10.1007/978-3-642-38709-8_30

Profiling event logs to configure risk indicators for process delays. / Pika, A.; Aalst, van der, W.M.P.; Fidge, C.J.; Hofstede, ter, A.H.M.; Wynn, M.T.

Advanced Information Systems Engineering (25th International Conference, CAiSE 2013, Valencia, Spain, June 17-21, 2013. Proceedings). ed. / C. Salinesi; M.C. Norrie; O. Pastor. Berlin : Springer, 2013. p. 465-481 (Lecture Notes in Computer Science; Vol. 7908).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

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Pika A, Aalst, van der WMP, Fidge CJ, Hofstede, ter AHM, Wynn MT. Profiling event logs to configure risk indicators for process delays. In Salinesi C, Norrie MC, Pastor O, editors, Advanced Information Systems Engineering (25th International Conference, CAiSE 2013, Valencia, Spain, June 17-21, 2013. Proceedings). Berlin: Springer. 2013. p. 465-481. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-642-38709-8_30