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Detlef Nauck
First name(s): Detlef
Last name(s): Nauck

Publications of Detlef Nauck
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2009
Mirko Böttcher, Georg Ruß, Detlef Nauck and Rudolf Kruse, From Change Mining to Relevance Feedback: A Unified View on Assessing Rule Interestingness, in: Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction, pages 12-37, IGI Global, 2009 attachment
Mirko Böttcher, Martin Spott, Detlef Nauck and Rudolf Kruse, Mining changing customer segments in dynamic markets (2009), in: Expert Systems with Applications, 36:1(155--164) attachment
2008
Georg Ruß, Rudolf Kruse, Detlef Nauck and Mirko Böttcher, Relevance Feedback for Association Rules by Leveraging Concepts from Information Retrieval, in: Research and Development in Intelligent Systems, BCS SGAI, Cambridge, pages 253--266, Springer, 2008 attachment
2007
Xiaomeng Wang, Detlef Nauck, Martin Spott and Rudolf Kruse, Intelligent data analysis with fuzzy decision trees (2007), in: Soft Computing: A Fusion of Foundations, Methodologies and Applications, 11:5(439--457) attachment
Rudolf Kruse, Christian Borgelt, Detlef Nauck, N.J. van Eck and and Matthias Steinbrecher, The role of soft computing in intelligent data analysis, in: Final program and abstracts of the 2007 IEEE International Conference on Fuzzy Systems, pages 9--17, 2007
2006
Frank Rügheimer, Detlef Nauck and Rudolf Kruse, Informationsfusion in Neuro-Fuzzy-Systemen, in: Informationsfusion in der Mess- und Sensortechnik, pages 113--125, Universitätsverlag Karlsruhe, 2006
2004
Xiaomeng Wang, Detlef Nauck, M. Spott and Rudolf Kruse, Fuzzy Decision Trees - A new CI-Method for the Automatic Data Analysis Platform SPIDA, in: Proc. 14. Workshop Fuzzy-Systeme und Computational Intelligence, Universitätsverlag Karlsruhe, 2004
Xiaomeng Wang, Detlef Nauck, M. Spott and Rudolf Kruse, Intelligent Data Analysis with Fuzzy Decision Trees, in: Soft Computing for Information Mining (Workshop Proceedings 27th German Conference on Artificial Intelligence), 2004
Xiaomeng Wang, Detlef Nauck, M. Spott and Rudolf Kruse, The Fuzzy Decision Tree Module in the Automatic Data Analysis Platform Spida, in: Information-Mining und Wissensmanagement in Wissenschaft und Wirtschaft - 7. Göttinger Symposium Soft Computing, Uni Göttingen, 2004 attachment
2003
2002
Christian Borgelt, A. Eichhorn, Rudolf Kruse and Detlef Nauck, Learning from Imprecise Data: Possibilistic Graphical Models (2002), in: Computational Statistics and Data Analysis, 38(449--463)
2001
Aljoscha Klose, Andreas Nürnberger, Detlef Nauck and Rudolf Kruse, Data Mining with Neuro-Fuzzy Models, pages 1--36, Physica-Verlag, Data Mining and Computational Intelligence, 2001
Detlef Nauck and Rudolf Kruse, Information Fusion in Neuro-Fuzzy Systems, pages 77--90, Springer, Data Fusion and Perception, 2001
2000
Detlef Nauck and Rudolf Kruse, NEFCLASS-J --- A JAVA-Based Soft Computing Tool, pages 139--160, Springer, Intelligent Systems and Soft Computing: Prospects, Tools and App, 2000
Rudolf Kruse, Christian Borgelt and Detlef Nauck, Problems and Prospects in Fuzzy Data Analysis, in: Soft Computing and Intelligent Systems: Prospects, Tools and Applications, pages 95--109, Springer-Verlag, 2000
1999
Rudolf Kruse, Christian Borgelt and Detlef Nauck, Data Mining mit Neuro-Fuzzy-Systemen, in: Proc.\ Symposium Operations Research (SOR'99, Magdeburg, Germany), 1999
Rudolf Kruse, Christian Borgelt and Detlef Nauck, Data Mining with Fuzzy Methods: Status and Perspectives, in: Proc.\ 7th European Congress on Intelligent Techniques and Soft Computing (EUFIT'99, Aachen, Germany), Verlag Mainz, 1999 attachment
Detlef Nauck and Rudolf Kruse, Fusing Expert Knowledge and Information from Data with NEFCLASS, in: Proc. Second International Conference on Information Fusion (FUSION'99), pages 386--393, Sunnyvale, CA, 1999
Detlef Nauck and Rudolf Kruse, Fuzzy Classification Rules Using Categorical and Metric Variables, in: Fuzzy-Neuro Systems 1999 - Computational Intelligence (FNS'99), pages 133--144, Leipziger Universitätsverlag, 1999 attachment
Rudolf Kruse, Christian Borgelt and Detlef Nauck, Fuzzy Data Analysis: Challenges and Perspectives, in: Proceedings of the 8th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE '99, Seoul, South Korea), pages 1211--1216, IEEE Press, 1999
Detlef Nauck and Rudolf Kruse, Learning in Neuro-Fuzzy Systems with Symbolic Attributes and Missing Values, in: Proc. Sixth International Conference on Information Processing (ICONIP99), pages 142--147, Perth, 1999
Detlef Nauck, Ulrike Nauck and Rudolf Kruse, NEFCLASS for JAVA -- New Learning Algorithms, in: Proc. 18th International Conference of the North American Fuzzy Information Processing Society (NAFIPS'99), pages 472--476, IEEE, 1999
Detlef Nauck and Rudolf Kruse, Neuro-Fuzzy Methods in Fuzzy Rule Generation, pages 305--334, Kluwer Academic Publishers, Fuzzy Sets in Approximate Reasoning and Information Systems 5, 1999
Detlef Nauck, Jörg Gebhardt and Rudolf Kruse, Neuro-Fuzzy Systems for Function Approximation (1999), in: Fuzzy Sets and Systems, 101(261--271)
Detlef Nauck, Jörg Gebhardt and Rudolf Kruse, Obtaining Interpretable Fuzzy Classification Rules from Medical Data (1999), in: Artificial Intelligence in Medicine, 16(149--169)
1998
Detlef Nauck and Rudolf Kruse, A Neuro-Fuzzy Approach to Obtain Interpretable Fuzzy Systems for Function Approximation, in: Proc. 7th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'98), pages 1106--1111, 1998 attachment
Rudolf Kruse and Detlef Nauck, Fuzzy Systeme und Neuro-Fuzzy Systeme, pages 35--54, Vieweg, Computational Intelligence, 1998
Rudolf Kruse and Detlef Nauck, How the learning of rule weights affects the interpretability of fuzzy systems, in: Proc. 7th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'98), pages 1235--1240, 1998 attachment
Detlef Nauck, G. Krell, Rudolf Kruse and B. Michaelis, Neural Networks in Applications NN'98, in: Proceedings of the Third International Conference, pages 278, Otto-von-Guericke-Universität Magdeburg, Magdeburg, 1998
Detlef Nauck, Andreas Nürnberger and Rudolf Kruse, Neuro-Fuzzy Classification, in: Advances in Data Science and Classification, Proc. of the 6th Conference of the International Federation of Classification Societies (IFCS-98), pages 287--294, Springer-Verlag, 1998
Rudolf Kruse and Detlef Nauck, Neuro-fuzzy methods in fuzzy rule generation, Kluwer, Approximate Reasoning and Fuzzy Information Systems, Handbook of, 1998
Detlef Nauck and Rudolf Kruse, Neuro-fuzzy systems, pages 230--259, Springer, Computational Intelligence: Soft Computing and Fuzzy-Neuro Integ, 1998
Detlef Nauck and Rudolf Kruse, Neuro-fuzzy systems, Institute of Physics Publishing Ltd., Handbook of Fuzzy Computation, 1998
Detlef Nauck and Rudolf Kruse, Rule Weights in Fuzzy Systems, in: Fuzzy-Neuro Systems '98 - Computational Intelligence, Proc. 5th International Workshop (FNS'98), 1998
1997
Andreas Nürnberger, Detlef Nauck, L. Merz and Rudolf Kruse, A neuro-fuzzy development tool for fuzzy controllers under MATLAB/SIMULINK, in: Proc. Fifth European Congress on Intelligent Techniques and Soft Computing (EUFIT97), pages 1029--1033, 1997
Aljoscha Klose, Frank Klawonn, Rudolf Kruse and Detlef Nauck, Constructing a Fuzzy Controller from Data (1997), in: Fuzzy Sets and Systems, 85(177--193)
Rudolf Kruse, Frank Klawonn and Detlef Nauck, Erlernen von Fuzzy-Regeln (1997), in: Informatik, Forschung und Entwicklung, 12:1(2--6)
Heiko Timm, Rudolf Kruse, Frank Klawonn and Detlef Nauck, Flexible Fuzzy Clustering for Data Analysis as a Plug-In Library for Data Engine, in: Proc. 1st International Data Analysis Symposium, pages 67--71, 1997
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