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

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Provided by: University of Udine
Topic: Big Data
Format: PDF
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, the authors 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.
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