New directions in rough sets, data mining, and granular-soft computing : 7th International Workshop, RSFDGrC 99, Yamaguchi, Japan, November 9-11, 1999 : proceedings
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| Formato: | Livre numérique |
| Idioma: | Anglais |
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Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Series: | Lecture notes in computer science. Lecture notes in artificial intelligence
1711 |
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| Acceso en liña: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • New directions in rough sets, data mining, and granular-soft computing, 7th International Workshop, RSFDGrC'99, Yamaguchi, Japan, November 1999, proceedings, Ning Zhong, Andrzej Skowron, Setsuo Ohsuga (eds.), 1999, New York, Springer, 1 vol. (XIV-558 p.), Lecture notes in computer science, 3-540-66645-1 • New Directions in Rough Sets, Data Mining, and Granular-Soft Computing, Texte imprimé, 9783662212202 |
Table des matières:
- Invited Talks
- Decision Rules, Bayes Rule and Rough Sets
- A New Direction in System Analysis: From Computation with Measurements to Computation with Perceptions
- On Text Mining Techniques for Personalization
- A Road to Discovery Science
- Rough Computing: Foundations and Applications
- Calculi of Granules Based on Rough Set Theory: Approximate Distributed Synthesis and Granular Semantics for Computing with Words
- Discovery of Rules about Complications
- Rough Genetic Algorithms
- Classifying Faults in High Voltage Power Systems: A Rough-Fuzzy Neural Computational Approach
- Rough Set Theory and Its Applications
- Toward Spatial Reasoning in the Framework of Rough Mereology
- An Algorithm for Finding Equivalence Relations from Tables with Non-deterministic Information
- On the Extension of Rough Sets under Incomplete Information
- On Rough Relations: An Alternative Formulation
- Formal Rough Concept Analysis
- Noise Reduction in Telecommunication Channels Using Rough Sets and Neural Networks
- Rough Set Analysis of Electrostimulation Test Database for the Prediction of Post-Operative Profits in Cochlear Implanted Patients
- A Rough Set-Based Approach to Text Classification
- Modular Rough Fuzzy MLP: Evolutionary Design
- Approximate Reducts and Association Rules
- Handling Missing Values in Rough Set Analysis of Multi-attribute and Multi-criteria Decision Problems
- The Generic Rough Set Inductive Logic Programming Model and Motifs in Strings
- Rough Problem Settings for Inductive Logic Programming
- Using Rough Sets with Heuristics for Feature Selection
- The Discretization of Continuous Attributes Based on Compatibility Rough Set and Genetic Algorithm
- Fuzzy Set Theory and Its Applications
- Level Cut Conditioning Approach to the Necessity MeasureSpecification
- Four c-Regression Methods and Classification Functions
- Context-Free Fuzzy Sets in Data Mining Context
- Applying Fuzzy Hypothesis Testing to Medical Data
- Generating a Macroeconomic Fuzzy Forecasting System Using Evolutionary Search
- Fuzzy Control of Nonlinear Systems Using Nonlinearized Parameterization
- Control of Chaotic Systems Using Fuzzy Model-Based Regulators
- Fuzzy Behavior-Based Control for the Obstacle Avoidance of Multi-link Manipulators
- Fuzzy Future Value and Annual Cash Flow Analyses
- Semi-linear Equation with Fuzzy Parameters
- Non-classical Logic and Approximate Reasoning
- First Order Rough Logic-Revisited
- A Generalized Decision Logic in Interval-Set-Valued Information Tables
- Many-Valued Dynamic Logic for Qualitative Decision Theory
- Incorporating Fuzzy Set Theory and Matrix Logic in Multi-layer Logic
- Fuzzy Logic as Interfacing Media for Constraint Propagation Based on Theories of Chu Space and Information Flow
- Pattern Reasoning: A New Solution for Knowledge Acquisition Problem
- Probabilistic Inference and Bayesian Theorem Based on Logical Implication
- Reasoning with Neural Logic Networks
- The Resolution for Rough Propositional Logic with Lower (L) and Upper (H) Approximate Operators
- Information Granulation and Granular Computing
- Information Granules in Distributed Environment
- Evolving Granules for Classification for Discovering Difference in the Usage of Words
- Interval Evaluation by AHP with Rough Set Concept
- Interval Density Functions in Conflict Analysis
- Incorporating Personal Database Unification by Granular Computing
- Data Mining and Knowledge Discovery
- Knowledge-Driven Discovery of Operational Definitions
- A Closest Fit Approach to Missing Attribute Values in Preterm Birth Data
- Visualizing Discovered Rule Sets with Visual Graphs Based on Compressed Entropy Density
- A Distance-Based Clustering and Selection of Association Rules on Numeric Attributes
- Knowledge Discovery for Protein Tertiary Substructures
- Integrating Classification and Association Rule Mining: A Concept Lattice Framework
- Using Rough Genetic and Kohonen s Neural Network for Conceptual Cluster Discovery in Data Mining
- Towards Automated Optimal Equity Portfolios Discovery in a Knowledge Sharing Financial Data Warehouse
- Rule-Evolver: An Evolutionary Approach for Data Mining
- Machine Learning
- Decision Making with Probabilistic Decision Tables
- The Iterated Version Space Learning
- An Empirical Study on Rule Quality Measures
- Rules as Attributes in Classifier Construction
- An Algorithm to Find the Optimized Network Structure in an Incremental Learning
- Patterns in Numerical Data: Practical Approximations to Kolmogorov Complexity
- Performance Prediction for Classification Systems
- Intelligent Agents and Systems
- Flexible Optimization and Evolution of Underwater Autonomous Agents
- Ontology-Based Multi-agent Model of an Information Security System
- Optimal Multi-scale Time Series Decomposition for Financial Forecasting Using Wavelet Thresholding Techniques
- Computerized Spelling Recognition of Words Expressed in the Sound Approach
- An Adaptive Handwriting Recognition System.