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Publikationen

Seite 2 von 3.

  1. Big-Prozess-Analytik für Fertigungsmanagementsysteme (MES)

    In: Marion Steven; Timo Klünder (Hrsg.). Big Data: Anwendung und Nutzungspotenziale in der Produktion. Chapter 2, Pages 215-239, ISBN 978-3-17-036476-9, Kohlhammer, Stuttgart, 2/2020.

  2. Explainable Process Predictions (xPP): A Holistic Framework and Applications

    In: Claudio Di Ciccio; Benoît Depaire; Jochen De Weerdt; Chiara Di Francescomarino; Jorge Munoz-Gama (Hrsg.). ICPM 2020. International Conference on Process Mining (ICPM-2020), 2nd, October 4-9, Padua, Italy, Pages 17-18, Vol. 2703, CEUR, 2020.

  3. Patrick Lübbecke; Nijat Mehdiyev; Peter Fettke

    Substitution of hazardous chemical substances using Deep Learning and t-SNE

    In: Proceedings der Internationalen Tagung Wirtschaftsinformatik. Internationale Tagung Wirtschaftsinformatik (WI-2019), Human Practice. Digital Ecologies. Our Future. February 24-27, Siegen, Germany, AIS, 2019.

  4. Jana-Rebecca Rehse; Nijat Mehdiyev; Peter Fettke

    Towards Explainable Process Predictions for Industry 4.0 in the DFKI-Smart-Lego-Factory

    In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 33, No. 1, Pages 181-187, Springer, 2019.

  5. Nijat Mehdiyev; Joerg Evermann; Peter Fettke

    A Novel Business Process Prediction Model Using a Deep Learning Method

    In: Springer Fachmedien Wiesbaden (Hrsg.). Business & Information Systems Engineering (BISE), Vol. 5/2018, Pages 1-15, Springer Fachmedien, Wiesbaden, 7/2018.

  6. iPRODICT – Intelligent Process Prediction based on Big Data Analytics

    Business Process Management (BPM-17), Industry Track, September 10-15, Barcelona, Spain, BPM, Springer, Cham, 9/2017.

  7. Nijat Mehdiyev; Joerg Evermann; Peter Fettke

    A Multi-Stage Deep Learning Approach for Business Process Event Prediction

    In: 19th IEEE Conference on Business Informatics. IEEE Conference on Business Informatics (CBI-17), located at IEEE Conference on Business Informatics, July 24-27, Thessaloniki, Greece, IEEE, 7/2017.

  8. Nijat Mehdiyev; Johannes Lahann; Andreas Emrich; David Enke; Peter Fettke; Peter Loos

    Time Series Classification using Deep Learning for Process Planning: A Case from the Process Industry

    In: Procedia Computer Science. Complex Adaptive Systems (CAS-2017), USA, Pages 242-249, Vol. 114, 2017.

  9. Nijat Mehdiyev; Julian Krumeich; Dirk Werth; Peter Loos

    Determination of Event Patterns for Complex Event Processing Using Fuzzy Unordered Rule Induction Algorithm with Multi-objective Evolutionary Feature Subset Selection

    In: Proceedings of the 49th Annual Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (HICSS-16), January 5-8, Koloa, HI, USA, Pages 1719-1728, ISBN 1530-1605, IEEE Computer Society, 1/2016.

  10. Sharam Dadashnia; Tim Niesen; Philip Hake; Peter Fettke; Nijat Mehdiyev; Joerg Evermann

    Identification of Distinct Usage Patterns and Prediction of Customer Behavior

    In: Sixth International Business Process Intelligence Challenge (BPIC’16). Business Process Intelligence Challenge (BPIC-2016), located at BPI / BPM 2016, September 19, Rio de Janeiro, Brazil, Springer, 2016.