A general framework for correlating business process characteristics

M. Leoni, de, W.M.P. Aalst, van der, M. Dees

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

53 Citations (Scopus)
5 Downloads (Pure)


Process discovery techniques make it possible to automatically derive process models from event data. However, often one is not only interested in discovering the control-flow but also in answering questions like "What do the cases that are late have in common?", "What characterizes the workers that skip this check activity?", and "Do people work faster if they have more work?", etc. Such questions can be answered by combining process mining with classification (e.g., decision tree analysis). Several authors have proposed ad-hoc solutions for specific questions, e.g., there is work on predicting the remaining processing time and recommending activities to minimize particular risks. However, as shown in this paper, it is possible to unify these ideas and provide a general framework for deriving and correlating process characteristics. First, we show how the desired process characteristics can be derived and linked to events. Then, we show that we can derive the selected dependent characteristic from a set of independent characteristics for a selected set of events. This can be done for any process characteristic one can think of. The approach is highly generic and implemented as plug-in for the ProM framework. Its applicability is demonstrated by using it to answer to a wide range of questions put forward by the UWV (the Dutch Employee Insurance Agency).
Original languageEnglish
Title of host publicationBusiness Process Management (12th International Conference, BPM 2014, Haifa, Israel, September 7-11, 2014. Proceedings)
EditorsS. Sadiq, P. Soffer, H. Völzer
Place of PublicationBerlin
ISBN (Print)978-3-319-10171-2
Publication statusPublished - 2014
Event12th International Conference on Business Process Management, BPM 2014 - Eindhoven, Netherlands
Duration: 7 Sept 201411 Sept 2014
Conference number: 12

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


Conference12th International Conference on Business Process Management, BPM 2014
Abbreviated titleBPM 2014
OtherConference was originally planned in Haifa, but due to the unstable situation in southern Israel, it was relocated to Eindhoven. BPM Demo Sessions 2014, BPMD 2014, Co-located with the 12th International Conference on Business Process Management, BPM 2014
Internet address


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