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Detecting Approximate Clones in Process Model Repositories with Apromore

  • Approximate clone detection is the process of identifying similar process fragments in business process model collections. The tool presented in this paper can efficiently cluster approximate clones in large process model repositories. Once a repository is clustered, users can filter and browse the clusters using different filtering parameters. Our tool can also visualize clusters in the 2D space, allowing a better understanding of clusters and their member fragments. This demonstration will be useful for researchers and practitioners working on large process model repositories, where process standardization is a critical task for increasing the consistency and reducing the complexity of the repository.

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Metadaten
Document Type:Conference Object
Language:English
Parent Title (English):Lohmann, Moser (Eds.): BPM 2012 Demonstration Track. Demonstration Track of the 10th International Conference on Business Process Management (BPM 2012).Tallinn, Estonia, 4 September 2012, Proceedings. CEUR Workshop Proceedings, Vol. 940
First Page:29
Last Page:33
URL:http://ceur-ws.org/Vol-940/
Date of first publication:2012/11/19
Departments, institutes and facilities:Fachbereich Wirtschaftswissenschaften
Dewey Decimal Classification (DDC):600 Technik, Medizin, angewandte Wissenschaften / 650 Management, Öffentlichkeitsarbeit / 658 Allgemeines Management
Entry in this database:2016/09/20