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Activity-Oriented Clustering Techniques in Large Process and Compliance Rule Repositories

Abstract

Organizations often have to deal with large collections of business process models and compliance rules. Particular challenges in this context are compliance checks, consistency checks, and the maintenance of the process and rule repositories. In case that a-priory knowledge about dependencies within the process base and the rule base is not available, compliance checking must be performed by verifying all rules for each process, which turns out to be very costly in a context of large process and rule repositories. In this paper we present activity-oriented clustering techniques for efficient compliance checking which are particularly applicable in process and rule repositories where no a-priori clustering is considered. Further it is shown how the proposed clustering techniques influence the complexity of consistency checks. Finally, qualitative and quantitative aspects of the presented clustering techniques are discussed. The presented techniques provide a first step towards effective and efficient management of large business process and compliance rule repositories.

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Authors
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Citation
Category
Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
BPM'11 Workshops, 1st Int. Workshop on Process Model Collections
Divisions
Workflow Systems and Technology
Event Location
Clermont-Ferrand, France
Event Type
Workshop
Event Dates
August 2011
Series Name
LNBIP Proc. BPM'11 Workshops, 1st Int. Workshop on Process Model Collections (PMC 2011)
Publisher
Springer
Date
2011
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