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Publications

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  1. 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.

  2. 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.

  3. 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.

  4. Nijat Mehdiyev; David Enke; Peter Fettke; Peter Loos

    Evaluating Forecasting Methods by Considering Different Accuracy Measures

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

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. David Enke; Nijat Mehdiyev

    A Hybrid Neuro-fuzzy Model to Forecast Inflation

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

  10. David Enke; Nijat Mehdiyev

    Stock Market Prediction Using a Combination of Stepwise Regression Analysis, Differential Evolution-based Fuzzy Clustering, and a Fuzzy Inference Neural Network.

    In: Intelligent Automation & Soft Computing, Vol. 19, No. 4, Pages 636-648, Taylor and Francis, 2013.