Please use this identifier to cite or link to this item:
|Title:||Making compliance measures actionable: a new compliance analysis approach||Authors:||Damer, Nour
|Issue Date:||2012||Publisher:||Springer||Source:||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.||Document URI:||http://hdl.handle.net/1942/13361||ISBN:||978-3-642-28107-5||DOI:||10.1007/978-3-642-28108-2_16||ISI #:||000310558400016||Category:||C1||Type:||Proceedings Paper||Validations:||ecoom 2013
|Appears in Collections:||PhD theses|
Show full item record
checked on May 15, 2022
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.