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Keywords:
- Artificial Neural Networks
- Bayesian Networks
- clustering
- Computational Intelligence
- continuous data
- dynamic graphs
- EEG
- Enron dataset
- ensemble detection
- Evolutionary Algorithms
- Fuzzy Systems
- Hebbian learning
- multidimensional scaling
- Neural Networks
- neuroimaging
- neuroscience
- point processes
- social network analysis
- spike train
- spike train analysis
Publications of Christian Borgelt sorted by first author
B
| and , Neuere Entwicklungen im Data Mining mit Bayesschen Netzen, in: Seminar zu Anwendungen von Fuzzy-Technologien und Neuronalen Netzen (Wernigerode, Germany), MIT GmbH, 1998 |
| and , Efficient Maximum Projection of Database-Induced Multivariate Possibility Distributions, in: Proc.\ 7th IEEE Int.\ Conf.\ on Fuzzy Systems (FUZZ-IEEE'98, Anchorage, AK), pages 663--668, IEEE Press, 1998 |
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| and , Learning probabilistic and possibilistic networks: Theory and applications, in: Proc. 7th International Fuzzy Systems Association World Congress (IFSA'97), pages 19--24, 1997 |
| and , 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 |
| and , Learning Graphical Models by Extending Optimal Spanning Trees, in: Intelligent Systems for Information Processing --- From Representation to Applications, pages 339--348, Elsevier, 2003 |
| and , Probabilistic Networks for Abductive Inference, Kluwer, Abductive Reasoning and Learning, 2000 |
| and , Abductive Inference with Probabilistic Networks, in: Abductive Reasoning and Learning, Kluwer, 2000 |
| and , Probabilistic and Possibilistic Networks and How to Learn Them from Data, in: Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications, pages 403--426, Springer-Verlag, 1998 |
| and , Probabilistic and Possibilistic Networks and How to Learn Them from Data, Springer, NATO ASI Series 7, 1997 |
| and , Data Mining with Possibilistic Graphical Models, pages 229--248, IOS Press, Nato Science Series III, Systematic Organisation of Information, volume 184, 2003 |
| and , Section 3.4: Artificial Intelligence Methods, in: CIGR Handbook of Agricultural Engineering Volume VI: Information Technology, pages 153--168, American Society of Agricultural and Biological Engineers (ASABE), 2006 |
| 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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| Advances in Intelligent Data Analysis V, Springer, 2003 |
| , and , Finding Ensembles of Neurons in Spike Trains by Non-linear Mapping and Statistical Testing, in: Advances in Intelligent Data Analysis X, pages 55-66, Springer Berlin / Heidelberg, 2011 |
| , and , Assembly Detection in Continuous Neural Spike Train Data, in: Advances in Intelligent Data Analysis XI, pages 78-89, Springer Berlin / Heidelberg, 2012 |
| , and , Behavioral Clustering for Point Processes, in: Advances in Intelligent Data Analysis XII, pages 127-137, Springer Berlin Heidelberg, 2013 |
D
| , , and , Knowledge Revision in Markov Networks (2004), in: Mathware \{&} Soft Computing, 11:2-3(93--107) |
| , 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 |
H
| , , , and , Advanced Analysis of Dynamic Graphs in Social and Neural Networks, in: Towards Advanced Data Analysis by Combining Soft Computing and Statistics, pages 205--222, Springer, 2013 |
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K
| and , Information Mining: Editorial (2003), in: Int.\ Journal of Approximate Reasoning, 32(63--65) |
| and , 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 |
| and , Evaluation measures for learning probabilistic and possibilistic networks, in: Proc. 6th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'97), pages 669--676, 1997 |
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| and , Some experimental results on learning probabilistic and possibilistic networks with different evaluation measures, in: Proc. 1st International Joint Conference on Qualitative and Quantitative Practical Reasoning (ECSQARU/FAPR'97), pages 71--85, 1997 |
| , , , , and , Computational Intelligence: Eine methodische Einführung in Künstliche Neuronale Netze, Evolutionäre Algorithmen, Fuzzy-Systeme und Bayes-Netze, Springer Vieweg, 2015 |
| , , and , Mining Frequent Parallel Episodes with Selective Participation, in: 16th World Congress of the International Fuzzy Systems Association (IFSA) 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), Atlantis Press, 2015 |