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All publications
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
Christian Döring, Rudolf Kruse, Heiko Timm and Christian Borgelt, Fuzzy Cluster Analysis with Cluster Repulsion, in: Proc. Of the 1st International Workshop on Hybrid Methods for Adaptive Systems (EUNITE  ´01), 2001
Heiko Timm, Christian Borgelt, Christian Döring and Rudolf Kruse, Fuzzy Cluster Analysis with Cluster Repulsion, in: Proc.\ European Symposium on Intelligent Technologies, Hybrid Systems and Their Implementation on Smart Adaptive Systems (eunite'01, Puerto de la Cruz, Tenerife, Spain), Verlag Mainz, 2001
Detlef Nauck and Rudolf Kruse, Information Fusion in Neuro-Fuzzy Systems, pages 77--90, Springer, Data Fusion and Perception, 2001
S. Siekmann, Rudolf Kruse, F. van Overbeek, R. Cooke and Jörg Gebhardt, Information Fusion in the Context of Stock Index Prediction (2001), in: International Journal of Intelligent Systems, 11(1285--1298)
Rudolf Kruse, Information Mining, in: Proc. of the Int. Conf. of the European Society for Fuzzy Logic and Technology (EUSFLAT 2001), pages 6--9, De Montfort University, 2001
Christian Borgelt and Rudolf Kruse, Learning Graphical Models with Hypertree Structure Using a Simulated Annealing Approach, in: Proc.\ 10th IEEE Int.\ Conf.\ on Fuzzy Systems (FUZZ-IEEE'01, Melbourne, Australia), IEEE Press, 2001
Christian Borgelt, Heiko Timm and Rudolf Kruse, Probabilistic Networks and Fuzzy Clustering as Generalizations of Naive Bayes Classifiers, in: Computational Intelligence in Theory and Practice, pages 121--138, Physica-Verlag, 2001
J. Grabmeier, J. Buhmann, Rudolf Kruse and Heiko Timm, Segmentierende und clusterbildende Methoden, pages 299-353, Vieweg, Handbuch Data Mining im Marketing. Knowledge Discovery in Market, 2001
Christian Borgelt and Rudolf Kruse, Unsicherheit und Vagheit: Begriffe, Methoden, Forschungsthemen (2001), in: {K}ünstliche Intelligenz, {T}hemenheft Unsicherheit und {V}agheit, 15:3(5--8)
2000
Christian Borgelt and Rudolf Kruse, Abductive Inference with Probabilistic Networks, in: Abductive Reasoning and Learning, Kluwer, 2000
Andreas Nürnberger, Aljoscha Klose and Rudolf Kruse, Analyzing Borders Between Partially Contradicting Fuzzy Classification Rules, in: Proc. 19th International Conference of the North American Fuzzy Information Processing Society (NAFIPS 2000), pages 59--63, 2000
Aljoscha Klose, Rudolf Kruse, H. Gross and U. Thoennessen, Automatische Adaption Struktureller Bildanalysealgorithmen unter Verwendung von Data Mining Techniken, in: Proc. Computational Intelligence im industriellen Einsatz (CI'2000), pages 91--96, VDI-Verlag, 2000
Andreas Nürnberger, Rudolf Kruse and Aljoscha Klose, Effects of Antecedent Pruning in Fuzzy Classification Systems, in: Proc. of the Fourth International Conference on Knowledge-Based Intelligent Engineering Systems \{&} Allied Technologies (KES 2000), pages 154--157, 2000
Handbook of Deafesible Reasoning and Uncertainty Management Systems, Kluwer, Abductive Reasoning and Learning, volume 4, 2000
Rudolf Kruse and Aljoscha Klose, Information Mining: Applications in Image Processing, in: SOFSEM2000: Theory and Practice of Informatics, pages 266--285, Springer, 2000
Christian Borgelt and Rudolf Kruse, Learning from Imprecise Data: Possibilistic Graphical Models, in: Proc.\ Int.\ Meeting on Nonlinear Methods and Data Mining (NMDM 2000), pages 190--203, Consiglio Nazionale delle Ricerche, 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
Christian Borgelt, Jörg Gebhardt and Rudolf Kruse, Possibilistic Graphical Models, in: Computational Intelligence in Data Mining (Proc.\ 3rd Int.\ Workshop, Udine, Italy), pages 51--68, Springer-Verlag, 2000
Christian Borgelt and Rudolf Kruse, Probabilistic Networks for Abductive Inference, Kluwer, Abductive Reasoning and Learning, 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
Christian Borgelt, Heiko Timm and Rudolf Kruse, Unsicheres und vages Wissen, in: Einführung in die Künstliche Intelligenz (3.~Auflage), pages 291--347, Addison-Wesley, 2000
Christian Borgelt, Heiko Timm and Rudolf Kruse, Using Fuzzy Clustering to Improve Naive Bayes Classifiers and Probabilistic Networks, in: Proc.\ 9th IEEE Int.\ Conf.\ on Fuzzy Systems (FUZZ-IEEE'00, San Antonio, TX), IEEE Press, 2000
Rudolf Kruse, Wie geht man mit unscharfen Informationen um? H. Hischer, pages 79--83, Franzbecker Verlag, Modellbildung, Computer und Mathematikunterricht, 2000
1999
Christian Borgelt and Rudolf Kruse, A Critique of Inductive Causation, in: Proc. 5th European Conf. on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU'99, London, United Kingdom), pages 68--79, Springer-Verlag, 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
Andreas Nürnberger, A. Radetzky and Rudolf Kruse, Determination of Elastodynamic Model Parameters using a Recurrent Neuro-Fuzzy System, in: Proc. 7th European Congress on Intelligent Techniques and Soft Computing (EUFIT'99), Verlag Mainz, 1999 attachment
Andreas Nürnberger, Aljoscha Klose and Rudolf Kruse, Discussing Cluster Shapes of Fuzzy Classifiers, in: Proc. 18th International Conference of the North American Fuzzy Information Processing Society (NAFIPS'99), pages 546--550, New York, 1999
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
Christian Borgelt, Jörg Gebhardt and Rudolf Kruse, Fuzzy-Methoden in der Datenanalyse, in: {F}uzzy-{T}heorie und {S}tochastik, pages 370--386, Vieweg, 1999
S. Siekmann, Rudolf Kruse, Jörg Gebhardt, F. van Overbeek and R. Cooke, Information Fusion in the Context of Stock Index Prediction, in: Proc. of European Conference on Symbolic and Quantitative Approaches to Uncertainty (ECSQARU'99), Springer, 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