Peter Fettke

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Constantin HouyResearcher, DFKI SaarbrückenVerified email at iwi.dfki.de
Jana-Rebecca RehseJunior Professor, University of MannheimVerified email at uni-mannheim.de
Nijat MehdiyevSenior Researcher, German Research Center for Artificial IntelligenceVerified email at dfki.de
Tom ThalerInstitute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) and Saarland UniversityVerified email at iwi.dfki.de
Heiner LasiFerdinand-Steinbeis-InstitutVerified email at steinbeis-fsti.de
Philip HakeInstitut für Wirtschaftsinformatik, Saarland Informatics CampusVerified email at dfki.de
Joerg EvermannMemorial University of NewfoundlandVerified email at mun.ca
Johannes LahannDeutsche Forschungszentrum für Künstliche Intelligenz GmbHVerified email at dfki.de
Tim NiesenInstitut für Wirtschaftsinformatik im Deutschen Forschungszentrum für Künstliche Intelligenz (DFKI)Verified email at iwi.dfki.de
Andreas OberweisProfessor of Applied Computer Science, Karlsruhe Institute of TechnologyVerified email at kit.edu
Wolfgang ReisigHumboldt-Universität zu BerlinVerified email at informatik.hu-berlin.de
Ulrich FrankUniversität Duisburg-EssenVerified email at uni-due.de
Sharam DadashniaDFKIVerified email at iwi.dfki.de
Peter PfeifferGerman Research Center for Artificial Intelligence (DFKI), Saarland Informatics Campus (SIC)Verified email at dfki.de
Martin ScheidGerman Research Center for Artificial Intelligence and Saarland UniversityVerified email at martin-scheid.de
S. Balzert-WalterDFKI, Saarland Informatics CampusVerified email at dfki.de
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eVerified email at pads.rwth-aachen.de
J KrogstieProfessor in information systems IDI, NTNUVerified email at ntnu.no
Sven OverhageChair of Industrial Information Systems, University of BambergVerified email at uni-bamberg.de
Filip FatzGerman Research Center for Artificial IntelligenceVerified email at dfki.de

Peter Fettke

DFKI, Saarland University

Verified email at dfki.de - Homepage

Business Informatics Conceptual Modeling Business Engineering Reference Modeling Business


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Industry 4.0 H Lasi, P Fettke, HG Kemper, T Feld, M Hoffmann Business & information systems engineering 6, 239-242, 2014	6109	2014
State-of-the-Art des State-of-the-Art P Fettke Wirtschaftsinformatik 48 (4), 257-266, 2006	473	2006
Predicting process behaviour using deep learning J Evermann, JR Rehse, P Fettke Decision Support Systems, 2017	424	2017
Empirical research in business process management–analysis of an emerging field of research C Houy, P Fettke, P Loos Business Process Management Journal 16 (4), 619-661, 2010	388	2010
Classification of reference models: a methodology and its application P Fettke, P Loos Information systems and e-business management 1, 35-53, 2003	388	2003
Referenzmodellierungsforschung P Fettke, P Loos Wirtschaftsinformatik 5 (46), 331-340, 2004	295	2004
Industrie 4.0 H Lasi, P Fettke, HG Kemper, T Feld, M Hoffmann Wirtschaftsinformatik 56, 261-264, 2014	294	2014
Perspectives on reference modeling P Fettke, P Loos Reference modeling for business systems analysis, 1-21, 2007	287*	2007
Business process reference models: Survey and classification P Fettke, P Loos, J Zwicker International Conference on Business Process Management, 469-483, 2005	257	2005
How conceptual modeling is used P Fettke Communications of the Association for Information Systems 25 (1), 43, 2009	172	2009
A deep learning approach for predicting process behaviour at runtime J Evermann, JR Rehse, P Fettke Business Process Management Workshops: BPM 2016 International Workshops, Rio …, 2017	146	2017
Ontological evaluation of reference models using the Bunge-Wand-Weber model P Fettke, P Loos AMCIS 2003 Proceedings, 384, 2003	137	2003
Time series classification using deep learning for process planning: A case from the process industry N Mehdiyev, J Lahann, A Emrich, D Enke, P Fettke, P Loos Procedia Computer Science 114, 242-249, 2017	135	2017
Towards an integrative big data analysis framework for data-driven risk management in industry 4.0 T Niesen, C Houy, P Fettke, P Loos 2016 49th Hawaii international conference on system sciences (HICSS), 5065-5074, 2016	132	2016
A systematic literature review on state-of-the-art deep learning methods for process prediction DA Neu, J Lahann, P Fettke Artificial Intelligence Review 55 (2), 801-827, 2022	131	2022
Evaluating forecasting methods by considering different accuracy measures N Mehdiyev, D Enke, P Fettke, P Loos Procedia Computer Science 95, 264-271, 2016	105	2016
The Process Model Matching Contest 2013 U Cayoglu, R Dijkman, M Dumas, P Fettke, L Garcıa-Banuelos, P Hake, ... 4th International Workshop on Process Model Collections: Management and …, 2013	105*	2013
Multiperspective evaluation of reference models–towards a framework P Fettke, P Loos International Conference on Conceptual Modeling, 80-91, 2003	100	2003
A novel business process prediction model using a deep learning method N Mehdiyev, J Evermann, P Fettke Business & information systems engineering 62, 143-157, 2020	97	2020
Methoden zur Wiederverwendung von Referenzmodellen–Übersicht und Taxonomie P Fettke, P Loos Referenzmodellierung, 9-33, 2002	97	2002

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