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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 title
| 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-350 | 351-400 | 401-450 | 451-500 | 501-534 |
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| and , Visual data analysis with computational intelligence methods (2010), in: Bulletin of the Polish Academy of Sciences, 58:3 |
| , , and , Visual Data Mining of Agriculture Data, in: Machine Learning and Data Mining in Pattern Recognition, 6th International Conference (MLDM 2009), Leipzig, Germany, pages 30--44, IBaI publishing, 2009 |
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| and , Visualisierung Bayesscher Netze zur Diagnoseunterstützung, in: GMA-Kongress 2007 --- Automation im gesamten Lebenszyklus, VDI-Verlag, 2007 |
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| , , and , Visualization of Agriculture Data Using Self-Organizing Maps, in: Applications and Innovations in Intelligent Systems, BCS SGAI, London, pages 47--60, Springer, 2009 |
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| , and , Visualization of Fuzzy Classifiers (2007), in: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJUFKS), 15:5(615--624) |
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| , and , Visualization of Fuzzy Rule Classifiers for Flight Duration Forecast, in: Proc. of the Symposium on Fuzzy Systems in Computer Science (FSCS 2006, Magdeburg, Germany), 2006 |
| , and , Visualization of High-Dimensional Data with Polar Coordinates, in: Encyclopedia of Data Warehousing and Mining, pages 2062--2067, Information Science Reference, 2008 |
| and , Visualization of Local Dependencies of Possibilistic Network Structures, in: Proceedings of the International Symposium of Fuzzy and Rough Sets (ISFUROS), UCLV, Santa Clara, Cuba, pages 77--80, 2006 |
| and , Visualization of Local Dependencies of Possibilistic Network Structures, in: Granular Computing: At the Junction of Rough Sets and Fuzzy Sets, pages 93--104, Springer Berlin / Heidelberg, 2008 |
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| and , Visualization of Possibilistic Potentials, in: {Foundations of Fuzzy Logic and Soft Computing}, pages 295--303, Springer Berlin / Heidelberg, 2007 |
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| , and , Visualization of Single Clusters, in: ICAISC, pages 663-671, 2006 |
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| and , Visualizing and fuzzy filtering for discovering temporal trajectories of association rules (2010), in: Journal of Computer and System Sciences, 76:1(77-87) |
| and , Visualizing Interesting Rules through Belief Network Inspection, in: Business Intelligence: Methods and Applications, pages 95--101, Verlag Dr. Kova{\v{c}}, Hamburg, 2007 |
| , and , Visualizing single fuzzy c-means clusters, in: 15. Workshop Computational Intelligence, Gesellschaft für Informatik, 2005 |
W
| , and , WCCI 2010 Plenary and Invited Lectures, chapter Temporal Aspects in Data Mining, pages 1--22, Institute of Electrical and Electronics Engineering, Inc., 2010 |
| and , What are neuro-fuzzy classifiers?, in: Proc. Seventh International Fuzzy Systems Association World Congress IFSA'97, pages 228--233, 1997 |
| , Wie geht man mit unscharfen Informationen um? H. Hischer, pages 79--83, Franzbecker Verlag, Modellbildung, Computer und Mathematikunterricht, 2000 |
| , Wissensbasierte Systeme, TU Braunschweig, Wissenschaft als Zukunftskultur, 1996 |
Z
| and , Zuordnen von linguistischen Ausdrücken zu Motiven in Zeitreihen (2009), in: at-Automatisierungstechnik, 57:3(146--154) |
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| and , Zur Interpretation von Fuzzy Controllern, in: Proc. VDE-Fachtagung Technische Anwendungen von Fuzzy Systemen, 1992 |
| , Zur Konstruktion von unscharfen, lambda-additiven Maßen, Technische Universität Carolo-Wilhelmina zu Braunschweig, 1980 |