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Workshop on Business Process Intelligence (BPI2013), Date: 2013/08/26 - 2013/08/30, Location: Beijing (China)

Publication date: 2013-01
Volume: 171 171 LNBIP Pages: 41 - 53
ISBN: 978-3-319-06256-3 ISSN: 1865-1348
DOI: 10.1007/978-3-319-06257-0
Publisher: Springer

Business Process Management Workshops

Author:

vanden Broucke, Seppe
Delvaux, C ; Freitas, J ; Rogova, T ; Vanthienen, Jan ; Baesens, Bart

Abstract:

Abstract. The research field of process mining deals with the extraction of knowledge from event logs. Event logs consist of the recording of activities that took place in a certain business environment and as such, one of process mining’s main goals is to get an insight on the execution of business processes. Although a substantial effort has been put on developing techniques which are able to mine event logs accurately, it is still unclear how exactly characteristics of the latter influence a technique’s performance. In this paper, we provide a robust methodology of analysis and subsequently derive useful insights on the role of event log characteristics in process discovery tasks by means of an exhaustive comparative study.