Publikationen

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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, …
Nijat Mehdiyev; Andreas Emrich; Björn Stahmer; Peter Fettke; Peter Loos (Hrsg.)
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.
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 …
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.
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), …
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 …
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.
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, …
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 …
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.