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Topic: All Publications of Rudolf Kruse
Publications for topic "All Publications of Rudolf Kruse" sorted by first author
| 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-350 | 351-400 | 401-450 | 451-500 | 501-530 |
B
| and , Attributauswahlmaße für die Induktion von Entscheidungsbäumen: Ein Überblick, pages 77--98, Physica-Verlag, Data Mining: Theoretische Aspekte und Anwendungen, 1998 |
| and , Constraining Shape and Size in Clustering, in: Cooperation in Classification and Data Analysis, pages 13--25, Springer, 2009 |
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| and , 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 |
| , and , Learning Possibilistic Graphical Models from Data (2003), in: IEEE Transaction Fuzzy Systems, 11:2(159--172) |
| , and , Fuzzy Learning Vector Quantization with Size and Shape Parameters, in: Proc. 15th IEEE Int. Conf. on Fuzzy Systems, 2005 (FUZZ-IEEE'05, Reno, NV), CD-ROM, pages 195--200, IEEE Press, 2005 |
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| , and , Graphical Models: Representations for Learning, Reasoning and Data Mining, Wiley, 2009 |
| , and , 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 |
| , and , Unsicheres und vages Wissen, in: Einführung in die Künstliche Intelligenz (3.~Auflage), pages 291--347, Addison-Wesley, 2000 |
| , and , Probabilistic Networks and Fuzzy Clustering as Generalizations of Naive Bayes Classifiers, in: Computational Intelligence in Theory and Practice, pages 121--138, Physica-Verlag, 2001 |
| , , and , A Framework for Discovering Interesting Business Changes from Data (2006), in: BT Technology Journal, 24:2(219--228) |
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| , , and , 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 |
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| , and , A Condensed Representation of Itemsets for Analyzing their Evolution over Time, in: 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD2009), Springer, 2009 |
| , and , Predicting Future Decision Trees from Evolving Data, in: Proceedings of ICDM '08, Pisa, Italy, pages 33--42, IEEE Computer Society, 2008 |
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| , and , A temporal extension of closed item sets for change mining, School of Computer Science, University of Magdeburg, number 07-08, 2008 |
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| , and , An Algorithm for Anticipating Future Decision Trees from Concept-Drifting Data, in: Research and Development in Intelligent Systems, BCS SGAI, London, pages 293--306, Springer, 2009 |
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| , , and , Mining changing customer segments in dynamic markets (2009), in: Expert Systems with Applications, 36:1(155--164) |
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| Advances in Intelligent Data Analysis V, Springer, 2003 |
| , and , Using Changes in Distribution to Identify Synchronized Point Processes, in: Strengthening Links Between Data Analysis and Soft Computing, pages 241-248, Springer International Publishing, 2015 |
| , and , Behavioral Clustering for Point Processes, in: Advances in Intelligent Data Analysis XII, pages 127-137, Springer Berlin Heidelberg, 2013 |
| , and , Obtaining shape descriptors from a concave hull-based clustering algorithm, in: Advances in Intelligent Data Analysis XV : 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings, Stockholm, Sweden, pages 61-72, 2016 |
| , and , Towards Online Detection of Neural Assemblies in Parallel Spike Trains, in: 48th Hawaii International Conference on System Sciences (HICSS), 2015, pages 1503-1511, 2015 |
| and , Fuzzy density based clustering with generalized centroids, in: 2016 IEEE Symposium Series on Computational Intelligence (SSCI), pages 1-7, 2016 |
| and , Detecting parallel bursts in in silico generated parallel spike train data, in: 24th Annual Computational Neuroscience Meeting: CNS*2015, pages P134, 2015 |
| and , Active Learning-Based Identification of Neuronal Assemblies in Parallel Spike Trains, in: Proceedings. 24. Workshop Computational Intelligence, Dortmund, 27.-28. November 2014, pages 155-172, KIT Scientific Publishing, 2014 |
C
| , and , Axiomatic Treatment of Possibilistic Independence, in: Symbolic and Quantitative Approaches to Reasoning and Uncertainty, Lecture Notes in Artificial Intelligence 946, pages 77--88, Springer, 1995 |
| , , and , Prolog - Eine methodische Einführung, Vieweg, 1992 |
| , , and , Prolog - Eine methodische Einführung, Vieweg, 1990 |
| , , and , Prolog - Eine methodische Einführung, Vieweg, 1988 |
D
| Informatik'98: Informatik zwischen Bild und Sprache, Springer, 1998 |
| , , and , Knowledge Revision in Markov Networks (2004), in: Mathware \{&} Soft Computing, 11:2-3(93--107) |
| , and , An Alternating Optimization Approach based on Hierarchical Adaptations of DBSCAN, in: 2015 IEEE Symposium Series on Computational Intelligence (SSCI), 2015 |
| , , , and , Analysis of a major-accident dataset by Association Rule Mining to minimise unsafe interfaces, in: Proc. of the 13th International Probabilistic Workshop (IPW 2015), IPW 2015 Organisers, Liverpool, pages 218-230, Research Publishing, 2015 |
| , and , Effects of Irrelevant Attributes in Fuzzy Clustering, in: Proc. 14th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE'05, Reno, NV), CD-ROM, pages 862--866, IEEE Press, 2005 |
| , and , 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 |
| , , and , Fuzzy Cluster Analysis with Cluster Repulsion, in: Proc. Of the 1st International Workshop on Hybrid Methods for Adaptive Systems (EUNITE ´01), 2001 |
| , and , Data analysis with fuzzy clustering methods (2006), in: Computational Statistics {\&} Data Analysis, 51:1(192--214) |
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| Planning Based on Decision Theory, Springer, 2003 |
E
| , , and , Neuro-Fuzzy Classification of Surface Form Deviations, in: Proc. FUZZ IEEE 03, pages 902--907, 2003 |
| , , and , Surface Quality Analysis with Soft Computing, in: Proceedings of the East West Fuzzy Colloquium, Hochschule Zittau/Görlitz, pages 292--299, IPM, 2002 |
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| , , and , Soft Computing for Automated Surface Quality analysis of Exterior car body Panels (2002), in: Soft Computing Journal |
F
| , and , DV-Profis und Studenten bilden Softwareteam (1985), in: Computerwoche |
| , and , Das Salzgittermodell - Ein Beispiel für die Zusammenarbeit zwischen Hochschule und Industrie bei der Entwicklung komplexer Software-Systeme, in: Proc. 8. GI-Fachgespräch über Rechenzentren, 1989 |
G
| Handbook of Deafesible Reasoning and Uncertainty Management Systems, Kluwer, Abductive Reasoning and Learning, volume 4, 2000 |
| , and , Concepts of fuzzy-valued statistics, pages 35, Kluwer, International Handbook on Fuzzy Sets and Possibility Theory, volume 4, 1997 |
| , , , and , Graphical Models for Industrial Planning on Complex Domains, in: Decision Theory and Multi-Agent Planning, pages 131--143, Springer, 2006 |
| , , , and , Graphical Models for Industrial Planning on Complex Domains, in: Decision Theory and Multi-Agent Planning, pages 131--143, Springer, 2006 |