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User Centered and Privacy-Driven Process Mining System Design

(Extended Abstract)

  • HAUPTBEITRAG
  • PROCESS MINING SYSTEM DESIGN
  • Published:
Informatik Spektrum Aims and scope

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References

  1. Hoepman JH (2014) Privacy design strategies. In: Cuppens-Boulahia N, Cuppens F, Jajodia S, Abou El Kalam A, Sans T (eds) ICT systems security and privacy protection. Springer, Berlin Heidelberg, pp 446–459

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  2. Janiesch C, Koschmider A, Mecella M, Weber B, Burattin A, Ciccio CD, Gal A, Kannengiesser U, Mannhardt F, Mendling J, Oberweis A, Reichert M, Rinderle-Ma S, Song W, Su J, Torres V, Weidlich M, Weske M, Zhang L (2017) The internet-of-things meets business process management: Mutual benefits and challenges. CoRR abs/1709.03628

  3. Mannhardt F, Bovo R, Oliveira MF, Julier S (2018) A taxonomy for combining activity recognition and process discovery in industrial environments. In: Intelligent data engineering and automated learning. LNCS. Springer, Berlin, Heidelberg, pp 84–93

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Authors and Affiliations

  1. Software Engineering, RWTH Aachen University, Aachen, Germany

    Judith Michael & Bernhard Rumpe

  2. AIFB, Karlsruhe Institute of Technology, Karlsruhe, Germany

    Agnes Koschmider

  3. SINTEF Digital, Trondheim, Norway

    Felix Mannhardt

  4. IBM Almaden Research Center, San Jose, USA

    Nathalie Baracaldo

Authors
  1. Judith Michael
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  2. Agnes Koschmider
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  3. Felix Mannhardt
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  4. Nathalie Baracaldo
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  5. Bernhard Rumpe
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Correspondence to Judith Michael.

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Michael, J., Koschmider, A., Mannhardt, F. et al. User Centered and Privacy-Driven Process Mining System Design. Informatik Spektrum 42, 347–348 (2019). https://doi.org/10.1007/s00287-019-01202-0

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  • DOI: https://doi.org/10.1007/s00287-019-01202-0

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