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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/25384

Title: Summary of the Process Discovery Contest 2016
Authors: Carmona, Josep
de Leoni, Massimiliano
Depaire, Benoît
Jouck, Toon
Issue Date: 2017
Publisher: Springer International Publishing
Citation: Dumas, Marlon; Fantinato, Marcelo (Ed.). Business Process Management Workshops: BPM 2016 International Workshops Rio de Janeiro, Brazil, September 19, 2016 Revised Papers, Springer International Publishing,p. 7-10 (Art N° 3)
Series/Report: Lecture Notes in Business Information Processing
Series/Report no.: 281
Abstract: Process Mining is a relatively young research discipline that aims to discover, monitor and improve processes based on real facts (and not assumptions) by extracting knowledge from event logs readily available in today’s (information) systems [1]. The lion’s share of attention of Process Mining has been devoted to Process Discovery,namely extracting process models - mainly business process models - from an event log. In the last decade, several new techniques for process discovery have been put forward. Each technique has been evaluated on separate event data, thus making it difficult to perform a comparative evaluation. However, in light of a continuously growing of strength and interest in Process Mining as a discipline, it becomes crucial to finally foster a comparison of existing discovery techniques. With this need at hand, we organized the first edition of the Process-Discovery contest, which was co-located with the BPM-2016 Conference in Rio de Janeiro (Brazil).
URI: http://hdl.handle.net/1942/25384
DOI: 10.1007/978-3-319-58457-7
ISBN: 9783319584577
ISSN: 1865-1348
Category: C1
Type: Proceedings Paper
Appears in Collections: Research publications

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