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Publikationen

Seite 2 von 3.

  1. Philip Hake; Jana-Rebecca Rehse; Peter Fettke

    Supporting Complaint Management in the Medical Technology Industry by Means of Deep Learning

    In: 3rd International Workshop on Artificial Intelligence for Business Process Management. International Workshop on Artificial Intelligence for …

  2. Oliver Gutermuth; Johannes Lahann; Jana-Rebecca Rehse; Martin Scheid; Steffen Schuhmann; Sebastian Stephan; Peter Fettke

    Efficient and Compliant Purchase Order Handling: A Contribution to BPI Challenge 2019

    BPI Challenge Report, BPI Challenge 2019, BPI Challenge, Vol. 2019, 2019.

  3. Martin Scheid; Jana-Rebecca Rehse; Constantin Houy; Peter Fettke

    Data Set for MobIS Challenge 2019

    10/2018.

  4. Jana-Rebecca Rehse

    Situational Reference Model Mining

    In: Marite Kirikova; Audrone Lupeikiene; Ernest Teniente (Hrsg.). CAiSE 2018 Doctoral Consortium Papers. CAiSE Doctoral Consortium (CAiSE-DC-2018), …

  5. Jana-Rebecca Rehse; Sharam Dadashnia; Peter Fettke

    Business process management for Industry 4.0 – Three application cases in the DFKI-Smart-Lego-Factory

    In: IT - information technology (IT), Vol. 60, No. 3, Pages 133-141, De Gruyter, 2018.

  6. Jana-Rebecca Rehse; Peter Fettke

    Process Mining Crimes - A Threat to the Validity of Process Discovery Evaluations

    In: Mathias Weske; Marco Montali; Ingo Weber; Jan vom Brocke (Hrsg.). Business Process Management Forum. Business Process Management (BPM-2018), …

  7. Jana-Rebecca Rehse; Peter Fettke; Peter Loos

    A graph-theoretic method for the inductive development of reference process models

    In: Software & Systems Modeling, Vol. 16, No. 3, Pages 833-873, Springer, 2017.

  8. Jana-Rebecca Rehse; Peter Fettke

    Towards Situational Reference Model Mining – Main Idea, Procedure Model & Case Study

    In: Jan Marco Leimeister; Walter Brenner (Hrsg.). Proceedings der 13. Internationalen Tagung Wirtschaftsinformatik. Internationale Tagung …

  9. Joerg Evermann; Jana-Rebecca Rehse; Peter Fettke

    XES Tensorflow – Process Prediction using the Tensorflow Deep-Learning Framework

    In: X. Franch; J. Ralyté; R. Matulevičius; C. Salinesi; R. Wieringa (Hrsg.). CAiSE 2017 Forum and Doctoral Consortium Papers. Forum at the CAiSE …