Hier sehen Sie die Veröffentlichungen, die vom iProdict-Konsortium seit Projektbeginn publiziert worden sind:


Julian Krumeich; Dirk Werth; Peter Loos (2016) „Prescriptive Control of Business Processes – New Potentials through Predictive Analytics on Big Data in the Process Manufacturing Industry.“ Business & Information Systems Engineering (BISE), Vol. 58, No. 4, Page Online First, Springer, Wiesbaden

Nijat Mehdiyev; Julian Krumeich; Dirk Werth; Peter Loos (2016) „Determination of Event Patterns for Complex Event Processing Using Fuzzy Unordered Rule Induction Algorithm with Multi-Objective Evolutionary Feature Subset Selec-tion“. In: Proceedings of the 49th Hawaii international Conference on System Sciences. Kauai,HI

Julian Krumeich; Manuel Peter Zapp; Dirk Mayer; Dirk Werth; Peter Loos (2016) „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 Wirtschaftsinformatik (MKWI-2016), March 9-11, Ilmenau, Germany, tba,


Nijat Mehdiyev; Julian Krumeich; Dirk Werth; Peter Loos (2015)Sensor Event Mining with Hybrid Ensemble Learning and Evolutionary Feature Subset Selection Model“ In: Proceedings of the 2015 IEEE International Conference on Big Data, Santa Clara,CA.

Nijat Mehdiyev; Julian Krumeich; David Enke; Dirk Werth; Peter Loos (2015) „Determination of Rule Patterns in Complex Event Processing Using Machine Learning Techniques“ Procedia Computer Science61, 395-401. (2015).

Julian Krumeich; Dirk Werth; Peter Loos (2015) „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 Rico, Puerto Rico, AIS Electronic Library,

Julian Krumeich; Nijat Mehdiyev; Dirk Werth; Peter Loos (2015) „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.