A Process Mining Based Approach to Support Decision Making

Abstract : Currently, organizations tend to reuse their past knowledge to make good decisions quickly and effectively and thus, to improve their business processes performance in terms of time, quality, efficiency, etc. Process mining techniques allow organizations to achieve this objective through process discovery. This paper develops a semi-automated approach that supports decision making by discovering decision rules from the past process executions. It identifies a ranking of the process patterns that satisfy the discovered decision rules and which are the most likely to be executed by a given user in a given context. The approach is applied on a supervision process of the gas network exploitation.
Document type :
Conference papers
Complete list of metadatas

Cited literature [17 references]  Display  Hide  Download

Contributor : Hal Ifip <>
Submitted on : Wednesday, April 11, 2018 - 4:49:21 PM
Last modification on : Tuesday, May 28, 2019 - 3:40:09 PM


 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2020-01-01

Please log in to resquest access to the document


Distributed under a Creative Commons Attribution 4.0 International License



Widad Es-Soufi, Esma Yahia, Lionel Roucoules. A Process Mining Based Approach to Support Decision Making. 14th IFIP International Conference on Product Lifecycle Management (PLM), Jul 2017, Seville, Spain. pp.264-274, ⟨10.1007/978-3-319-72905-3_24⟩. ⟨hal-01764180⟩



Record views