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Keywords:
- aggregation methods
- Air Traffic Management
- Artificial Neural Networks
- Assembly
- assembly detection
- Automobile Industry
- Bayesian Networks
- bibtex-import
- Binary Classification
- biology computing
- brain
- Brain modeling
- Classification
- Classification models
- clustering
- Computational Intelligence
- data analysis
- Data Mining
- Data Visualization
- dynamic graphs
- dynamic networks
- EEG
- elctroencephalography
- Electric potential
- Electrodes
- Enron dataset
- Evolutionary Algorithms
- feature extraction
- Feature Selection
- Frequent Pattern Mining
- frequent temporal patterns
- Fuzzy c-means
- Fuzzy classifiers
- Fuzzy clustering
- Fuzzy Control
- Fuzzy Data Analysis
- Fuzzy decision trees
- fuzzy logic
- Fuzzy neural network
- Fuzzy rule learning
- Fuzzy Rules
- fuzzy SVM
- Fuzzy Systems
- industrial application
- Information Fusion
- Intelligent data analysis
- Interpolation
- Interpretability
- knowledge acquisition
- Knowledge Representation
- Labeling
- Linguistic description
- Luftverkehrssysteme
- M-estimators
- Machine Learning
- Mamdani Control
- Markov networks
- MDSpolar
- Monotonicity Constraints
- Motif Discovery
- multidimensional scaling
- Multiple prototypes
- Multiple-Instance Learning
- Multivariate Time Series Analysis
- neural assemblies online detection
- neural nets
- Neural Networks
- Neuro-fuzzy system
- neurobiologists
- neurobiology
- neuroimaging
- neuron activation
- Neurons
- neuroscience
- Noise clustering
- online algorithms
- Outlier detection
- Pattern Recognition
- point processes
- POLARMAP
- Precision Agriculture
- Prediction
- Random Sets
- Real-time systems
- Regression
- Robust statistics
- Safety-Related Systems
- Sammon's Mapping
- SMPS2012
- social network analysis
- spike train analysis
- spike trains behavior
- spike-time hypothesis
- stream analysis
- Support Vector Machine
- Support Vector Regression. Multidimensional Scaling
- Trajectory
- vector autoregressive model
- Visual Data Analysis
- Visualization
Publications of Rudolf Kruse sorted by recency
| 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-350 | 351-400 | 401-450 | 451-500 | 501-534 |
| , , and , Relevance Feedback for Association Rules by Leveraging Concepts from Information Retrieval, in: Research and Development in Intelligent Systems, BCS SGAI, Cambridge, pages 253--266, Springer, 2008 |
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| , , and , Modern Data Visualization for Air Traffic Management, in: Proc. Conf. North American Fuzzy Information Processing Society (NAFIPS 2007), pages 19--24, 2007 |
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| , and , Concepts for Probabilistic and Possibilistic Induction of Decision Trees on Real World Data, in: Proc.\ 4th European Congress on Intelligent Techniques and Soft Computing (EUFIT'96, Aachen, Germany), pages 1556--1560, Verlag Mainz, 1996 |
| 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 , Inference Methods, in: Handbook of Fuzzy Computation, Institute of Physics Publishing, 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 , Neuere Entwicklungen im Data Mining mit Bayesschen Netzen, in: Seminar zu Anwendungen von Fuzzy-Technologien und Neuronalen Netzen (Wernigerode, Germany), MIT GmbH, 1998 |
| and , 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 |
| and , 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 |
| 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 , Fuzzy-Methoden in der Datenanalyse, in: {F}uzzy-{T}heorie und {S}tochastik, pages 370--386, Vieweg, 1999 |
| and , 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 |
| , and , 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 |
| , and , Data Mining mit Neuro-Fuzzy-Systemen, in: Proc.\ Symposium Operations Research (SOR'99, Magdeburg, Germany), 1999 |
| , and , 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 |
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| and , Abductive Inference with Probabilistic Networks, in: Abductive Reasoning and Learning, Kluwer, 2000 |
| , 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 , Possibilistic Graphical Models, in: Computational Intelligence in Data Mining (Proc.\ 3rd Int.\ Workshop, Udine, Italy), pages 51--68, Springer-Verlag, 2000 |
| , and , Problems and Prospects in Fuzzy Data Analysis, in: Soft Computing and Intelligent Systems: Prospects, Tools and Applications, pages 95--109, Springer-Verlag, 2000 |
| and , 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 |
| , 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 , Unsicherheit und Vagheit: Begriffe, Methoden, Forschungsthemen (2001), in: {K}ünstliche Intelligenz, {T}hemenheft Unsicherheit und {V}agheit, 15:3(5--8) |
| 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 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 |
| , , and , 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 |
| and , Operations and Evaluation Measures for Learning Possibilistic Graphical Models (2003), in: Artificial Intelligence, 148(385--418) |
| and , Information Mining: Editorial (2003), in: Int.\ Journal of Approximate Reasoning, 32(63--65) |
| and , 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 |
| 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 |
| Advances in Intelligent Data Analysis V --- Proc.\ 5th Int.\ Symp.\ on Intelligent Data Analysis (IDA2003, Berlin, Germany), Springer-Verlag, 2003 |
| , , and , Neuro-Fuzzy-Systeme --- Von den Grundlagen künstlicher Neuronaler Netze zu modernen Fuzzy-Systemen, Vieweg, 2003 |
| 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 , 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 |
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| , , and , An Extension to Possibilistic Fuzzy Cluster Analysis (2004), in: Fuzzy Sets and Systems, 147(3--16) |
| , 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 , 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 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 , Mining Fuzzy Frequent Item Sets, in: Proc.\ 11th Int.\ Fuzzy Systems Association World Congress (IFSA'05, Beijing, China), pages 528--533, Tsinghua University Press and Springer-Verlag, 2005 |
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| and , Fuzzy and Probabilistic Clustering with Shape and Size Constraints, in: Proc. 11th Int. Fuzzy Systems Association World Congress (IFSA'05, Beijing, China), pages 945--950, Tsinghua University Press and Springer-Verlag, 2005 |
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| and , Probabilistic Graphical Models for the Diagnosis of Analog Electrical Circuits, in: Proc. 8th European Conf. on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU'05, Barcelona, Spain), pages 100--110, Springer-Verlag, 2005 |
| From Data and Information Analysis to Knowledge Engineering --- Proc.\ 29th Ann.\ Conf.\ of the German Classification Society (GfKl 2005, Magdeburg, Germany), Springer-Verlag, 2005 |
| 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 , A Framework for Discovering Interesting Business Changes from Data (2006), in: BT Technology Journal, 24:2(219--228) |
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| and , Finding the Number of Fuzzy Clusters by Resampling, in: Proc. 16th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE'06, Vancouver, Canada), IEEE Press, Piscataway, NJ, USA, 2006 |
| , and , Foundations of Neuro--Fuzzy Systems, Wiley, 1996 |
| , and , New Learning Algorithms for the Neuro--Fuzzy Environment NEFCON--I, in: Proc.\ Neuro--Fuzzy--Systeme'95, pages 357--364, 1995 |
| , and , Neuronale Netze und Fuzzy--Systeme, Vieweg, 1994 |
| and , Neuro--Fuzzy Classification with NEFCLASS, in: Operations Research Proceedings 1995, pages 294--299, Springer--Verlag, 1996 |
| and , Designing Neuro--Fuzzy Systems Through Backpropagation, in: Fuzzy Modelling: Paradigms and Practice, Kluwer, 1996 |