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dc.contributor.authorCaron, Filip
dc.contributor.authorVanthienen, Jan
dc.contributor.authorBaesens, Bart
dc.date.accessioned2017-12-02T14:43:03Z
dc.date.available2017-12-02T14:43:03Z
dc.date.issued2013
dc.identifier.doi10.1016/j.dss.2012.12.012
dc.identifier.urihttp://hdl.handle.net/20.500.12127/4600
dc.description.abstractProcess mining researchers have primarily focused on developing and improving process discovery techniques, while attention for the applicability of process mining has been below par. As a result, there only exists a partial fit with the traditional requirements for compliance checking and risk management. This paper proposes a comprehensive rule-based process mining approach for a timely investigation of a complete set of enriched process event data. Additionally, the contribution elaborates a two-dimensional business rule taxonomy that serves as a source of business rules for the comprehensive rule-based compliance checking approach. Finally, the study provides a formal grounding for and an evaluation of the comprehensive rule-based compliance checking approach.
dc.language.isoen
dc.subjectBusiness Rules
dc.subjectCompliance Checking
dc.subjectRisk Management
dc.subjectProcess Mining
dc.subjectProcess-aware Information Systems
dc.titleComprehensive rule-based compliance checking and risk management with process mining
dc.identifier.journalDecision Support Systems
dc.source.volume54
dc.source.issue3
dc.source.beginpage1357
dc.source.endpage1369
vlerick.knowledgedomainAccounting & Finance
vlerick.knowledgedomainOperations & Supply Chain Management
vlerick.typearticleVlerick strategic journal article
vlerick.vlerickdepartmentA&F
dc.identifier.vperid94350
dc.identifier.vperid162313
dc.identifier.vperid51544
dc.identifier.vpubid5475


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