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Christian Borgelt and Rudolf Kruse, Possibilistic Networks: Data Mining Applications, in: Proc.\ 6th European Congress on Intelligent Techniques and Soft Computing (EUFIT'98, Aachen Germany), pages 603--607, Verlag Mainz, 1998
Christian Borgelt and Rudolf Kruse, Possibilistic Networks with Local Structure, in: Proc.\ 6th European Congress on Intelligent Techniques and Soft Computing (EUFIT'98, Aachen, Germany), pages 634--638, Verlag Mainz, 1998
Rudolf Kruse and Christian Borgelt, Data Mining with Graphical Models, in: Proc.\ Computer Science for Environmental Protection (12th Int.\ Symp.\ ``Informatik für den Umweltschutz'', Bremen, Germany), pages 17--30, 1998
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
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, 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
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
Christian Borgelt and Rudolf Kruse, Abductive Inference with Probabilistic Networks, in: Abductive Reasoning and Learning, Kluwer, 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
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, 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
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 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
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
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)
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
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
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
Rudolf Kruse and Christian Borgelt, Information Mining: Editorial (2003), in: Int.\ Journal of Approximate Reasoning, 32(63--65)
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
Christian Borgelt and Rudolf Kruse, Local Structure Learning in Graphical Models, in: Planning based on Decision Theory (Proc.\ 6th Int.\ Workshop, Udine, Italy 2002), pages 99--118, Springer-Verlag, 2003
Christian Borgelt and Rudolf Kruse, Learning Graphical Models by Extending Optimal Spanning Trees, in: Intelligent Systems for Information Processing --- From Representation to Applications, pages 339--348, Elsevier, 2003
Christian Borgelt and Rudolf Kruse, Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering, in: Proc.\ 8th European Conf.\ on Principles and Practice of Knowledge Discovery in Databases (PKDD 2004, Pisa, Italy), pages 52--62, Springer-Verlag, 2004 attachment
Christian Döring, Christian Borgelt and Rudolf Kruse, Fuzzy Clustering of Quantitative and Qualitative Data, in: Proc.\ Conf.\ North American Fuzzy Information Processing Society (NAFIPS 2004, Banff, Alberta, Canada), pages 84--89, IEEE Press, 2004