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On the use of Process Mining and Machine Learning to support decision making in systems design

Communication avec acte
Author
ES-SOUFI, Widad
ccROUCOULES, Lionel
199402 Laboratoire des Sciences de l'Information et des Systèmes [LSIS]
ccYAHIA, Esma

URI
http://hdl.handle.net/10985/11339
Date
2016

Abstract

Research on process mining and machine learning techniques has recently received a significant amount of attention by product development and management communities. Indeed, these techniques allow both an automatic process and activity discovery and thus are high added value services that help reusing knowledge to support decision-making. This paper proposes a double layer framework aiming to identify the most significant process patterns to be executed depending on the design context. Simultaneously, it proposes the most significant parameters for each activity of the considered process pattern. The framework is applied on a specific design example and is partially implemented.

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