Peter Fettke

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Constantin HouyResearcher, DFKI SaarbrückenCorreu electrònic verificat a iwi.dfki.de
Jana-Rebecca RehseJunior Professor, University of MannheimCorreu electrònic verificat a uni-mannheim.de
Nijat MehdiyevSenior Researcher, German Research Center for Artificial IntelligenceCorreu electrònic verificat a dfki.de
Tom ThalerInstitute for Information Systems (IWi) at the German Research Center for Artificial Intelligence (DFKI) and Saarland UniversityCorreu electrònic verificat a iwi.dfki.de
Heiner LasiFerdinand-Steinbeis-InstitutCorreu electrònic verificat a steinbeis-fsti.de
Johannes LahannDeutsche Forschungszentrum für Künstliche Intelligenz GmbHCorreu electrònic verificat a dfki.de
Philip HakeInstitut für Wirtschaftsinformatik, Saarland Informatics CampusCorreu electrònic verificat a dfki.de
Joerg EvermannMemorial University of NewfoundlandCorreu electrònic verificat a mun.ca
Wolfgang ReisigHumboldt-Universität zu BerlinCorreu electrònic verificat a informatik.hu-berlin.de
Tim NiesenInstitut für Wirtschaftsinformatik im Deutschen Forschungszentrum für Künstliche Intelligenz (DFKI)Correu electrònic verificat a iwi.dfki.de
Jan vom BrockeERCIS | European Research Center for Information Systems | University of MünsterCorreu electrònic verificat a uni-muenster.de
Andreas OberweisProfessor of Applied Computer Science, Karlsruhe Institute of TechnologyCorreu electrònic verificat a kit.edu
Peter PfeifferGerman Research Center for Artificial Intelligence (DFKI), Saarland Informatics Campus (SIC)Correu electrònic verificat a dfki.de
Ulrich FrankUniversität Duisburg-EssenCorreu electrònic verificat a uni-due.de
Sharam DadashniaDFKICorreu electrònic verificat a iwi.dfki.de
Martin ScheidGerman Research Center for Artificial Intelligence and Saarland UniversityCorreu electrònic verificat a martin-scheid.de
S. Balzert-WalterDFKI, Saarland Informatics CampusCorreu electrònic verificat a dfki.de
Hans-Georg FillFull Professor (Digitalization & Information Systems), U. of Fribourg–SwitzerlandCorreu electrònic verificat a unifr.ch
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eCorreu electrònic verificat a pads.rwth-aachen.de
J KrogstieProfessor in information systems IDI, NTNUCorreu electrònic verificat a ntnu.no

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Peter Fettke

DFKI, Saarland University

Correu electrònic verificat a dfki.de - Pàgina d'inici

Business Informatics Conceptual Modeling Process Mining


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
Industry 4.0 H Lasi, P Fettke, HG Kemper, T Feld, M Hoffmann Business & information systems engineering 6, 239-242, 2014	6684	2014
State-of-the-Art des State-of-the-Art P Fettke Wirtschaftsinformatik 48 (4), 257-266, 2006	481	2006
Predicting process behaviour using deep learning J Evermann, JR Rehse, P Fettke Decision Support Systems, 2017	459	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	403	2010
Classification of reference models: a methodology and its application P Fettke, P Loos Information systems and e-business management 1, 35-53, 2003	396	2003
Industrie 4.0 H Lasi, P Fettke, HG Kemper, T Feld, M Hoffmann Wirtschaftsinformatik 56, 261-264, 2014	316	2014
Referenzmodellierungsforschung P Fettke, P Loos Wirtschaftsinformatik 5 (46), 331-340, 2004	299	2004
Perspectives on reference modeling P Fettke, P Loos Reference modeling for business systems analysis, 1-21, 2007	290*	2007
Business process reference models: Survey and classification P Fettke, P Loos, J Zwicker International Conference on Business Process Management, 469-483, 2005	260	2005
How conceptual modeling is used P Fettke Communications of the Association for Information Systems 25 (1), 43, 2009	190	2009
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	171	2022
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	157	2017
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	152	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	144	2016
Ontological evaluation of reference models using the Bunge-Wand-Weber model P Fettke, P Loos AMCIS 2003 Proceedings, 384, 2003	140	2003
Evaluating forecasting methods by considering different accuracy measures N Mehdiyev, D Enke, P Fettke, P Loos Procedia Computer Science 95, 264-271, 2016	114	2016
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	109	2020
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	107*	2013
Conceptual modeling and large language models: impressions from first experiments with ChatGPT HG Fill, P Fettke, J Köpke Enterprise Modelling and Information Systems Architectures (EMISAJ) 18, 1-15, 2023	105	2023
Multiperspective evaluation of reference models–towards a framework P Fettke, P Loos International Conference on Conceptual Modeling, 80-91, 2003	102	2003

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