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Publikationen

Seite 1 von 2.

  1. 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.

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

  3. Julian Krumeich; Dirk Werth; Peter Loos

    Prescriptive Control of Business Processes - New Potentials through Predictive Analytics on Big Data in the Process Manufacturing Industry

    In: Business & Information Systems Engineering (BISE), Vol. 58, No. 4, Pages 261-280, Springer Fachmedien, Wiesbaden, 8/2016.

  4. 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), …

  5. Julian Krumeich; Manuel Zapp; Dirk Mayer; Dirk Werth; Peter Loos

    Modeling Complex Event Patterns in EPC-Models and Transforming them into an Executable Event Pattern Language

    In: Dirk Stelzer; Volker Nissen; Steffen Straßburger (Hrsg.). Tagungsband zur Multikonferenz Wirtschaftsinformatik (MKWI 2016) . Multikonferenz …

  6. Maximilian Christ; Julian Krumeich; Andreas W. Kempa-Liehr

    Integrating predictive analytics into complex event processing by using conditional density estimations

    In: 2nd Workshop on the Role of Real-world objects in Business Process Management Systems. Workshop on the Role of Real-world objects in Business …

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

    Sensor Event Mining with Hybrid Ensemble Learning and Evolutionary Feature Subset Selection Model

    In: Proceedings of IEEE International Conference on Big Data (Big Data) 2015. IEEE Conference on Big Data, October 29 - November 1, Santa Clara, CA, …

  8. Julian Krumeich; Dirk Werth; Peter Loos

    Enhancing Organizational Performance through Event-based Process Predictions

    In: Proceedings of the 21st Americas Conference on Information Systems. Americas Conference on Information Systems (AMCIS-2015), August 13-15, Puerto …

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

    Towards an Extended Metamodel of Event-driven Process Chains to Model Complex Event Patterns

    In: 2nd International Workshop on Event Modeling and Processing in Business Process Management. International Workshop on Event Modelling and …

  10. Julian Krumeich; Benjamin Weis; Dirk Werth; Peter Loos

    Event-Driven Business Process Management: Where are we now? - A Comprehensive Synthesis and Analysis of Literature

    In: Thomas Kohlborn; Jens Poeppelbuss; Oliver Mueller; Maximilian Roeglinger (Hrsg.). Business Process Management Journal (BPMJ), Vol. 20 (Special …