New Directions in Rough Sets, Data Mining, and Granular-Soft Computing 7th International Workshop, RSFDGrC'99, Yamaguchi, Japan, November 9-11, 1999 Proceedings /

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Zhong, Ning (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Ohsuga, Setsuo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1999.
Έκδοση:1st ed. 1999.
Σειρά:Lecture Notes in Artificial Intelligence ; 1711
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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 Measure Specification
  • 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.