Title: Multi-paradigm process mining: retrieving better models by combining rules and sequences
Authors: De Smedt, Johannes
De Weerdt, Jochen
Vanthienen, Jan
Issue Date: Jul-2014
Publisher: KU Leuven - Faculty of Economics and Business
Series Title: FEB Research Report KBI_1413
Abstract: Business process mining is a well-established field of research which focuses on the automatic retrieval and analysis of process flows, extracted from event logs which are the outcome of today's omnipresent information systems. 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. The findings have been implemented as a ProM plug-in that is based on Heuristics Miner and Declare miner.
Publication status: published
KU Leuven publication type: IR
Appears in Collections:Research Center for Management Informatics (LIRIS), Leuven

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