New directions in rough sets, data mining, and granular-soft computing / / Ning Zhong, Andrzej Skowron, Setsuo Ohsuga (editors)

• Pubblicazione: Berlin ; ; Heidelberg : , : Springer, , [1999]; ©1999
• Edizione: 1st ed. 1999.
• Descrizione fisica: 1 online resource (XIV, 566 p.)
• Disciplina: 004
• Soggetto topico: Computer science
• Persona (resp. second.): ZhongNing <1956->; SkowronAndrzej; OÌ„sugaSetsuo <1934->
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references at the end of each chapters and index.
• Nota di contenuto: 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.
• Titolo autorizzato: New directions in rough sets, data mining, and granular-soft computing
• ISBN: 3-540-48061-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910143645503321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Artificial Intelligence ; ; 1711