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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/13361

Title: Making compliance measures actionable: a new compliance analysis approach
Authors: Damer, Nour
Jans, Mieke
Depaire, Benoit
Vanhoof, Koen
Issue Date: 2012
Publisher: Springer
Citation: Daniel, Florian; Barkaoui, Kamel; Dustdar, Schahram (Ed.). Business Process Management Workshops, p. 159-164
Series/Report: Lecture Notes in Business Information Processing
Series/Report no.: 99
Abstract: Process mining can be used to measure the compliance between the actual behavior and the designed process. Traditionally, a single figure expressing the overall process compliance has only limited value to managers trying to improve their processes. This article proposes a new compliance methodology which first clusters the event log into homogeneous groups of event traces and then computes the compliance degree for each cluster separately. Additionally, each cluster is profiled by means of case information, which allows the discrimination between less and more compliant parts of the process. The benefits of this new compliance methodology in a business context are illustrated by means of a case study.
URI: http://hdl.handle.net/1942/13361
DOI: 10.1007/978-3-642-28108-2_16
ISI #: 000310558400016
ISBN: 978-3-642-28107-5
ISSN: 1865-1348
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2013
vabb, 2014
Appears in Collections: PhD theses
Research publications

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