Skip to main content Skip to main navigation

Publikationen

Seite 3 von 3.

  1. Evaluating Forecasting Methods by Considering Different Accuracy Measures

    In: Procedia Computer Science. Complex Adaptive Systems (CAS-2016), Elsevier, 2016.

  2. 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, USA, Pages 2159-2168, IEEE, 10/2015.

  3. 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 Processing in Business Process Management (EMoV-2015), located at 34th International Conference on Conceptual Modeling (ER 2015) , October 19-22, Stockholm, Sweden, Lecture Notes in Computer Science (LNCS), Vol. 9382, ISBN 978-3-319-25746-4, Springer, 2015.

  4. Nijat Mehdiyev; Julian Krumeich; David Enke; Dirk Werth; Peter Loos

    Determination of Rule Patterns in Complex Event Processing Using Machine Learning Techniques

    In: Procedia Computer Science. Complex Adaptive Systems (CAS-15), July 2-4, San Jose, CA, USA, Pages 395-401, Vol. 61, ISBN 1877-0509, Elsevier, 2015.

  5. Nijat Mehdiyev; David Enke

    Interest rate prediction: a neuro-hybrid approach with data preprocessing

    In: International Journal of General Systems, Vol. 43, No. 5, Pages 535-550, Taylor and Francis, 2014.

  6. David Enke; Nijat Mehdiyev

    A Hybrid Neuro-fuzzy Model to Forecast Inflation

    In: Procedia Computer Science, Vol. 6, Pages 254-260, Elsevier, 2014.