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Produktbild: New Directions in Rough Sets, Data Mining, and Granular-Soft Computing

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

Aus der Reihe Lecture Notes in Computer Science

97,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.10.1999

Abbildungen

XIV, 566 p.

Herausgeber

Ning Zhong + weitere

Verlag

Springer Berlin

Seitenzahl

566

Maße (L/B/H)

23,5/15,5/3,2 cm

Gewicht

867 g

Auflage

1999

Sprache

Englisch

ISBN

978-3-540-66645-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.10.1999

Abbildungen

XIV, 566 p.

Herausgeber

Verlag

Springer Berlin

Seitenzahl

566

Maße (L/B/H)

23,5/15,5/3,2 cm

Gewicht

867 g

Auflage

1999

Sprache

Englisch

ISBN

978-3-540-66645-5

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
  • 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.