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Project

iPRODICT

iPRODICT

iPRODICT

  • Duration:

iPRODICT

Partners

DFKI GmbH; Software AG; Fraunhofer-Institut für Intelligente Analysen; Blue Yonder GmbH; Pattern Recognition Company GmbH; Saarstahl AG

Sponsors

BMBF - Federal Ministry of Education and Research

IKT 2020 - Forschung für Innovationen: Management und Analyse großer Datenmengen (Big Data)

BMBF - Federal Ministry of Education and Research

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Keyfacts

Publications about the project

iPRODICT – Intelligent Process Prediction based on Big Data Analytics

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

Business Process Management (BPM-17), Industry Track, September 10-15, Barcelona, Spain, BPM, Springer, Cham, 9/2017.

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Time Series Classification using Deep Learning for Process Planning: A Case from the Process Industry

Nijat Mehdiyev; Johannes Lahann; Andreas Emrich; David Enke; Peter Fettke; Peter Loos

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

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

Julian Krumeich; Dirk Werth; Peter Loos

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

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