Mining declarative models using time intervals

J.M.E.M. Werf, van der, R.S. Mans, W.M.P. Aalst, van der

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

1 Citaat (Scopus)
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A common problem in process mining is the interpretation of the time stamp of events, e.g., whether it represents the moment of recording, or its occurrence. Often, this interpretation is left implicit. In this paper, we make this interpretation explicit using time intervals: an event occurs somewhere during a time window. The time window may be fine, e.g., a single point in time, or coarse, like a day. As each event is related to an activity within some process, we obtain for each activity a set of intervals in which the activity occurred. Based on these sets of intervals, we define ordering and simultaneousness relations. These relations form the basis of the discovery of a declarative process model describing the behavior in the event log.
Originele taal-2Engels
TitelInternational Workshop on Modeling and Business Environments (ModBE'13, Milano, Italy, June 24, 2013)
RedacteurenD. Moldt
StatusGepubliceerd - 2013

Publicatie series

NaamCEUR Workshop Proceedings
ISSN van geprinte versie1613-0073

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