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Rudolf Kruse
First name(s): Rudolf
Last name(s): Kruse

Keywords:

Publications of Rudolf Kruse
2003
Christian Borgelt and Rudolf Kruse, Speeding Up Fuzzy Clustering with Neural Network Techniques, in: Proc.\ 12th IEEE Int.\ Conf.\ on Fuzzy Systems (FUZZ-IEEE'03, St.~Louis, MO, USA), IEEE Press, 2003
2002
Heiko Timm and Rudolf Kruse, A modification to improve possibilistic fuzzy cluster analysis, in: Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on, pages 1460--1465, 2002 attachment
Heiko Timm, Frank Klawonn and Rudolf Kruse, An Extension of Partially Supervised Fuzzy Cluster, in: Proc. of International Conf. of the North American Fuzzy Information (NAFIPS), 2002
Andreas Nürnberger, Witold Pedrycz and Rudolf Kruse, Classification: Neural Net Approaches, Oxford University Press, Handbook of Data Mining and Knowledge Discovery, 2002
Andreas Nürnberger, Aljoscha Klose, Rudolf Kruse, G. K. Hartmann and M. Richards, Clustering of Document Collections to Support Interactive Text Exploration, pages 257--265, Springer, Exploratory Data Analysis in Empirical Research, 2002
Rudolf Kruse and Christian Borgelt, Data Mining with Graphical Models, in: Proc. DS 2002, pages 2--11, Springer, 2002
Heiko Timm, Christian Döring and Rudolf Kruse, Fuzzy Cluster Analysis of Partially Missing Data Sets (2002), in: Second International Workshop on Hybrid Methods for Adaptive Systems I(426--431) attachment
Heiko Timm, Christian Döring and Rudolf Kruse, Fuzzy Clusteranalyse von Daten mit fehlenden Werten, in: Unschärfe in Wirtschaft und Technik, Tagungsband zum 5. Göttinger Symposium Soft Computing, pages 99--112, 2002
Rudolf Kruse and Aljoscha Klose, Information Mining with Fuzzy Methods: Trends and Current Challenges, in: Proc. Methods and Models in Automation and Robotics Information (MMAR'02), pages 117--120, 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)
A. Eichhorn, Daniela Girimonte, Aljoscha Klose and Rudolf Kruse, Surface Quality Analysis with Soft Computing, in: Proceedings of the East West Fuzzy Colloquium, Hochschule Zittau/Görlitz, pages 292--299, IPM, 2002 attachment
2001
Christian Borgelt and Rudolf Kruse, An Empirical Investigation of the K2 Metric, in: Proc.\ 6th European Conf.\ on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU'01, Toulouse, France), pages 240--251, Springer-Verlag, 2001
Data Fusion and Perception, Springer, 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