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 first author
| 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-350 | 351-400 | 401-450 | 451-500 | 501-534 |
B
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 | , 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) | , , 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 | , , 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 | , and ,
A temporal extension of closed item sets for change mining, School of Computer Science, University of Magdeburg, number 07-08, 2008 | , 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 | , and ,
Mining changing customer segments in dynamic markets (2009), in: Expert Systems with Applications, 36:1(155--164) | , , and ,
Advances in Intelligent Data Analysis V, Springer, 2003 |
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 | and ,
C
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 | , , and ,
D
Informatik'98: Informatik zwischen Bild und Sprache, Springer, 1998 |
Knowledge Revision in Markov Networks (2004), in: Mathware \{&} Soft Computing, 11:2-3(93--107) | , , and ,
Variable Density Based Clustering, in: 2016 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, Athen, pages 1-8, IEEE, 2016 | , 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) | , and ,
Planning Based on Decision Theory, Springer, 2003 |
E
Classification of Surface Form Deviations for Quality Analysis, in: Intelligent technologies, hybrid systems and their implementation on smart adaptive systems, eunite 2003 (European symposium, Oulu, Finland, July 10--11, 2003), pages 121--129, Verlag Mainz, 2003 | , , 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 | , , and ,
Soft Computing for Automated Surface Quality analysis of Exterior car body Panels (2002), in: Soft Computing Journal | , , and ,
F
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 | , and ,
G
Handbook of Deafesible Reasoning and Uncertainty Management Systems, Kluwer, Abductive Reasoning and Learning, volume 4, 2000 |
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 | , , , and ,
Automated Construction of Possibilistic Networks from Data (1996), in: Journal of Applied Mathematics and Computer Science, 3:6(101--136) | and ,
Tightest hypertree decompositions of multivariate possibility distributions, in: Int. Conf. On Information Processing and Management of Uncertainty in Knowledge-Based System (IPMU '96), pages 923--927, 1996 | and ,
Measures of Nonspecificity for Decomposing Possibility Distributions, in: Proc. Biennial Conference of the North American Fuzzy Information Processing Society (NAFIPS '96), pages 177--179, 1996 | and ,
On a Tool for Possibilistic Reasoning in Relational Structures, in: Proc. IEEE International Conference on Fuzzy Systems (FUZZIEEE '96), pages 1471--1475, 1996 | and ,
Parallel Combination of Information Sources, in: Proc. Of the Second Workshop of the EC Working Group FUSION, 1996 | and ,