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International Conference on Business Information Systems

BIS 2018: Business Information Systems pp 190–205Cite as

Mining Hybrid Business Process Models: A Quest for Better Precision

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 320))

Abstract

In this paper, we present a technique for the discovery of hybrid process models that combine imperative and declarative constructs. In particular, we first employ the popular Inductive Miner to generate a fully imperative model from a log. Like most imperative miners, the Inductive Miner tends to return so-called flower models for the less structured parts of the process. These parts are often imprecise. To counter these imprecise parts, we replace them with declarative models to increase the precision since declarative models are good at specifying which behavior is disallowed. The approach has been implemented in ProM and tested on several synthetic and real-life event logs. Our experiments show that hybrid models can be found to be more precise without overfitting the data.

This work is supported in part by the Hybrid Business Process Management Technologies project funded by the Danish Council for Independent Research.

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Notes

  1. 1.

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Author information

Authors and Affiliations

  1. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Dennis M. M. Schunselaar & Hajo A. Reijers

  2. University of Copenhagen, Copenhagen, Denmark

    Tijs Slaats

  3. University of Tartu, Tartu, Estonia

    Fabrizio M. Maggi

  4. RWTH Aachen University, Aachen, Germany

    Wil M. P. van der Aalst

Authors
  1. Dennis M. M. Schunselaar
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  2. Tijs Slaats
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  3. Fabrizio M. Maggi
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  4. Hajo A. Reijers
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  5. Wil M. P. van der Aalst
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Correspondence to Dennis M. M. Schunselaar .

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Editors and Affiliations

  1. Poznan University of Economics and Business, Poznan, Poland

    Witold Abramowicz

  2. Fraunhofer FOKUS, Berlin, Germany

    Adrian Paschke

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Schunselaar, D.M.M., Slaats, T., Maggi, F.M., Reijers, H.A., van der Aalst, W.M.P. (2018). Mining Hybrid Business Process Models: A Quest for Better Precision. In: Abramowicz, W., Paschke, A. (eds) Business Information Systems. BIS 2018. Lecture Notes in Business Information Processing, vol 320. Springer, Cham. https://doi.org/10.1007/978-3-319-93931-5_14

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  • DOI: https://doi.org/10.1007/978-3-319-93931-5_14

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