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Peter Fettke
标题
引用次数
引用次数
年份
Industry 4.0
H Lasi, P Fettke, HG Kemper, T Feld, M Hoffmann
Business & Information Systems Engineering 6 (4), 239-242, 2014
59332014
State-of-the-Art des State-of-the-Art
P Fettke
Wirtschaftsinformatik 48 (4), 257-266, 2006
4702006
Predicting process behaviour using deep learning
J Evermann, JR Rehse, P Fettke
Decision Support Systems, 2017
4162017
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
3872010
Classification of reference models: a methodology and its application
P Fettke, P Loos
Information Systems and e-Business Management 1 (1), 35-53, 2003
3852003
Industrie 4.0
H Lasi, P Fettke, HG Kemper, T Feld, M Hoffmann
Wirtschaftsinformatik 56 (4), 261-264, 2014
2962014
Perspectives on reference modeling
P Fettke, P Loos
Reference modeling for business systems analysis, 1-21, 2007
284*2007
Referenzmodellierungsforschung
P Fettke, P Loos
Wirtschaftsinformatik 46 (5), 331-340, 2004
2592004
Business process reference models: Survey and classification
P Fettke, P Loos, J Zwicker
International Conference on Business Process Management, 469-483, 2005
2582005
Industry 4.0. Business & Information Systems Engineering, 6 (4), 239-242
H Lasi, P Fettke, HG Kemper, T Feld, M Hoffmann
1922014
How conceptual modeling is used
P Fettke
Communications of the Association for Information Systems 25 (1), 43, 2009
1682009
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
1442017
Ontological evaluation of reference models using the Bunge-Wand-Weber model
P Fettke, P Loos
AMCIS 2003 Proceedings, 384, 2003
1372003
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
1342017
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
1292016
A systematic literature review on state-of-the-art deep learning methods for process prediction
DA Neu, J Lahann, P Fettke
Artificial Intelligence Review, 1-27, 2021
1222021
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
103*2013
Evaluating Forecasting Methods by Considering Different Accuracy Measures
N Mehdiyev, D Enke, P Fettke, P Loos
Procedia Computer Science 95, 264-271, 2016
1022016
Multiperspective evaluation of reference models–towards a framework
P Fettke, P Loos
International Conference on Conceptual Modeling, 80-91, 2003
1022003
Industry 4.0
L Heiner, P Fettke, HG Kemper, T Feld, M Hoffmann
Business & information systems engineering 6 (4), 239-242, 2014
962014
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