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Behavioral Similarity – A Proper Metric

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Business Process Management (BPM 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6896))

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Abstract

With the increasing influence of Business Process Management, large process model repositories emerged in enterprises and public administrations. Their effective utilization requires meaningful and efficient capabilities to search for models that go beyond text based search or folder navigation, e.g., by similarity. Existing measures for process model similarity are often not applicable for efficient similarity search, as they lack metric features. In this paper, we introduce a proper metric to quantify process similarity based on behavioral profiles. It is grounded in the Jaccard coefficient and leverages behavioral relations between pairs of process model activities. The metric is successfully evaluated towards its approximation of human similarity assessment.

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Author information

Authors and Affiliations

  1. Hasso Plattner Institute at the University of Potsdam, Prof.-Dr.-Helmert-Strasse 2-3, 14482, Potsdam, Germany

    Matthias Kunze, Matthias Weidlich & Mathias Weske

Authors
  1. Matthias Kunze
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  2. Matthias Weidlich
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  3. Mathias Weske
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Editor information

Editors and Affiliations

  1. Faculty of Computer Science, Workflow Systems and Technology, University of Vienna, Vienna, Austria

    Stefanie Rinderle-Ma

  2. Laboratoire LIMOS - CNRS, Blaise Pascal University, Clermont-Ferrand, France

    Farouk Toumani

  3. Institut für Informatik, University of Rostock, Rostock, Germany

    Karsten Wolf

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© 2011 Springer-Verlag Berlin Heidelberg

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Kunze, M., Weidlich, M., Weske, M. (2011). Behavioral Similarity – A Proper Metric. In: Rinderle-Ma, S., Toumani, F., Wolf, K. (eds) Business Process Management. BPM 2011. Lecture Notes in Computer Science, vol 6896. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23059-2_15

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  • DOI: https://doi.org/10.1007/978-3-642-23059-2_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23058-5

  • Online ISBN: 978-3-642-23059-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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