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Log-based transactional workflow mining

Identifieur interne : 003931 ( Main/Exploration ); précédent : 003930; suivant : 003932

Log-based transactional workflow mining

Auteurs : Walid Gaaloul [France] ; Khaled Gaaloul [Allemagne, France] ; Sami Bhiri [Irlande (pays)] ; Armin Haller [Irlande (pays)] ; Manfred Hauswirth [Irlande (pays)]

Source :

RBID : ISTEX:1E10F58FB6A106163C08ADF0DE6D4B11C216D3BA

English descriptors

Abstract

Abstract: A continuous evolution of business process parameters, constraints and needs, hardly foreseeable initially, requires a continuous design from the business process management systems. In this article we are interested in developing a reactive design through process log analysis ensuring process re-engineering and execution reliability. We propose to analyse workflow logs to discover workflow transactional behaviour and to subsequently improve and correct related recovery mechanisms. Our approach starts by collecting workflow logs. Then, we build, by statistical analysis techniques, an intermediate representation specifying elementary dependencies between activities. These dependencies are refined to mine the transactional workflow model. The analysis of the discrepancies between the discovered model and the initially designed model enables us to detect design gaps, concerning particularly the recovery mechanisms. Thus, based on this mining step, we apply a set of rules on the initially designed workflow to improve workflow reliability.

Url:
DOI: 10.1007/s10619-009-7040-0


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

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