Title: Multi-paradigm process mining: retrieving better models by combining rules and sequences
Authors: De Smedt, Johannes
De Weerdt, Jochen
Vanthienen, Jan
Issue Date: 2014
Host Document: On the Move to Meaningful Internet Systems: OTM 2014 Conference vol:8841 pages:446-453
Series Title: Lecture Notes in Computer Science
Conference: Conference on Cooperative Information Systems (CoopIS 2014) edition:22 location:Amantea (Italy) date:27-31 October 2014
Abstract: Business process mining is a well-established field of research which focuses on the automatic retrieval and analysis of process flows. The discovery and representation of these models is based on techniques that come in all shapes and forms. Most notably, procedurally-based
algorithms such as Heuristics Miner have been used successfully for this purpose. Also, declarative process model miners have been proposed, which give other insights into the model by generating rules that apply on the activities. This paper proposes an integrated approach to combining these paradigms to discover process models that contain best of both worlds to enrich insights into the event logs under scrutiny.
ISBN: 978-3-662-45550-0
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Research Center for Management Informatics (LIRIS), Leuven

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