Mining usage patterns from a repository of scientific workflows
Proceedings of the 27th Annual ACM Symposium on Applied Computing
A process distance metric based on alignment of process structure trees
APWeb'12 Proceedings of the 14th international conference on Web Technologies and Applications
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Business process is collection of standardized and structured tasks inducing value creation of a company. Nowadays, it is recognized as one of significant intangible business assets to achieve competitive advantages. This research introduces a novel approach of business process analysis, which has more and more significance as process-aware information systems are spreading widely over a lot of companies. In this paper, a methodology of business process clustering based on process similarity is illustrated. The purpose of business process clustering is to analyze accumulated process models in order to assist design of new processes and reengineering of existing ones. The proposed methodology exploits structural similarity metrics of business processes. The methodology is illustrated with synthetic process models of insurance processes.