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Authors:
Alessandro Berti
Keywords: Concept Drift; Process Mining; Boltzmann Machines
Abstract:
In this paper is proposed an algorithm that uses Recurrent Boltzmann Machines to detect concept drifts in Process Mining event logs. The method is able to use several perspectives (Control Flow, Resources, Data) in comparison to existing methods that are conceived to use a single perspective (Control Flow). The approach has been tested on some artificial event logs and on a real-life log.
Pages: 9 to 10
Copyright: Copyright (c) IARIA, 2016
Publication date: May 22, 2016
Published in: conference
ISSN: 2326-9332
ISBN: 978-1-61208-477-0
Location: Valencia, Spain
Dates: from May 22, 2016 to May 26, 2016