All publications sorted by title
C
Christian Borgelt and Rudolf Kruse, Constraining Shape and Size in Clustering, in: Cooperation in Classification and Data Analysis, pages 13--25, Springer, 2009 attachment
Aljoscha Klose, Frank Klawonn, Rudolf Kruse and Detlef Nauck, Constructing a Fuzzy Controller from Data (1997), in: Fuzzy Sets and Systems, 85(177--193)
M. Hartmann, Frank Klawonn, Rudolf Kruse and K. Petras, Constructing Rule Bases and Fuzzy Sets for Interpolation: Experiences from Quality Evaluation, in: Proc. Second European Congress on Fuzzy and Intelligent Technologies (EUFIT'94), pages 1671--1673, 1994
Mirko Böttcher, Contrast and change mining (2011), in: Wiley Interdisc. Rev.: Data Mining and Knowledge Discovery, 1:3(215-230)
D
Christian Döring, Marie-Jeanne Lesot and Rudolf Kruse, Data analysis with fuzzy clustering methods (2006), in: Computational Statistics {\&} Data Analysis, 51:1(192--214) attachment
Data Fusion and Perception, Springer, 2001
Rudolf Kruse, Matthias Steinbrecher and Christian Moewes, Data Mining Applications in the Automotive Industry, in: Proceedings of the 4th International Workshop on Reliable Engineering Computing (REC 2010), Professional Activities Centre, National University of Singapore, Singapore, pages 23--40, Research Publishing Services, 2010
Data Mining in Engineering, IOS Press, 2011
Georg Ruß and Alexander Brenning, Data Mining in Precision Agriculture: Management of Spatial Information, in: Computational Intelligence for Knowledge-Based Systems Design, pages 350--359, Springer, 2010 attachment
Rudolf Kruse, Christian Borgelt and Detlef Nauck, Data Mining mit Neuro-Fuzzy-Systemen, in: Proc.\ Symposium Operations Research (SOR'99, Magdeburg, Germany), 1999
Georg Ruß, Data Mining of Agricultural Yield Data: A Comparison of Regression Models, in: Advances in Data Mining -- Applications and Theoretical Aspects, Berlin, Heidelberg, pages 24--37, Springer, 2009 attachment
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
Rudolf Kruse and Christian Borgelt, Data Mining with Graphical Models, in: Proc. DS 2002, pages 2--11, Springer, 2002
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
Georg Ruß, Rudolf Kruse, Peter Wagner and Martin Schneider, Data Mining with Neural Networks for Wheat Yield Prediction, in: Advances in Data Mining -- Medical Applications, E-Commerce, Marketing, and Theoretical Aspects, Leipzig, pages 47--56, Springer Verlag, 2008 attachment
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 Borgelt and Rudolf Kruse, Data Mining with Possibilistic Graphical Models, pages 229--248, IOS Press, Nato Science Series III, Systematic Organisation of Information, volume 184, 2003
M. J. Lesot and Rudolf Kruse, Data Summarisation by Typicality-based Clustering for Vectorial and Non Vectorial Data, in: Fuzzy Systems, 2006 IEEE International Conference on, pages 547--554, 2006 attachment
Frank Rügheimer and Rudolf Kruse, Datenanalyse-Plattform InformationMiner, in: Proc.15. Workshop Fuzzy-Systeme und Computational Intelligence, Universitätsverlag Karlsruhe, 2005
Frank Rehm, Frank Klawonn and Rudolf Kruse, Density-Based Multidimensional Scaling, in: Cooperation in Classification and Data Analsis, pages 53--60, Springer, 2009 attachment
Frank Klawonn and Rudolf Kruse, Derivation of Fuzzy Classificatio Rules from Multidimensional Data, pages 90--94, The International Institute for Advanced Studies in Systems Research and Cybernetics, Advances in Intelligent Data Analysis, 1995
Detlef Nauck and Rudolf Kruse, Designing Neuro--Fuzzy Systems Through Backpropagation, in: Fuzzy Modelling: Paradigms and Practice, Kluwer, 1996
Detlef Nauck and Rudolf Kruse, Designing Neuro-Fuzzy Systems Through Backpropagation, Kluwer, Fuzzy Modelling: Paradigms and Practice, 1995
Pascal Held and Rudolf Kruse, Detecting overlapping community hierarchies in dynamic graphs, in: 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pages 1063-1070, 2016
Christian Braune and Rudolf Kruse, Detecting parallel bursts in in silico generated parallel spike train data, in: 24th Annual Computational Neuroscience Meeting: CNS*2015, pages P134, 2015
Md A. Karim, Georg Ruß and Aminul Islam, Detection of Faulty Products using Data Mining, in: Computer and Information Technology, 2008. ICCIT 2008. 11th International Conference on, pages 101 -107, 2008 attachment
Georg Ruß, Arthur L. Hsu, Aminul Islam, Saman K. Halgamuge, Rudolf Kruse, Alan J. Smith and Md A. Karim, Detection of Faulty Semiconductor Wafers using Dynamic Growing Self Organizing Map, in: Proceedings of the IEEE Tencon 2005, Melbourne, Australia, IEEE Operations Center, New Jersey, pages 761--766, Piscataway, 2006 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
Kristian Löwe, Dichotomization in FMRI, Faculty of Computer Science, University of Magdeburg, 2012
Heiko Timm, C. Rautenstrauch, Christian Döring and Rudolf Kruse, Different approaches to fuzzy clustering of incomplete datasets (2004), in: International Journal of Approximate Reasoning, 35(239--249)
Mirko Böttcher, Discovering Interesting Temporal Changes in Association Rules, Otto-von-Guericke-Universität Magdeburg, 2005 attachment
Jörg Gebhardt and Rudolf Kruse, Discrete Graphical Models in Possibility Theory, in: Foundations and Applications of Possibility Theory (FAPT'95).World Scientific, Singapore, 1995
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