Rough sets and current trends in computing : second international conference, RSCTC 2000, Banff, Canada, Octob
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Author: RSCTC 2000 (2000 : Banff, Alta.), Ziarko, Wojciech, Yao, Yiyu
Added by: sketch
Added Date: 2015-12-30
Language: eng
Subjects: Electronic data processing, Set theory
Publishers: Berlin : New York : Springer
Collections: folkscanomy miscellaneous, folkscanomy, additional collections
ISBN Number: 3540430741
Pages Count: 600
PPI Count: 600
PDF Count: 1
Total Size: 776.98 MB
PDF Size: 37.78 MB
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Rough Sets and Current Trends in Computing: Second International Conference, RSCTC 2000 Banff, Canada, October 16–19, 2000 Revised Papers
Author: Wojciech Ziarko, Yiyu Yao
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-43074-2
DOI: 10.1007/3-540-45554-X
Table of Contents:
Includes bibliographical references and index
Author: Wojciech Ziarko, Yiyu Yao
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-43074-2
DOI: 10.1007/3-540-45554-X
Table of Contents:
- Rough Sets: Trends, Challenges, and Prospects
- To What Extent Can Computers Aid Human Activity? Toward Second Phase Information Technology
- Rough Sets and Decision Algorithms
- Toward a Perception-Based Theory of Probabilistic Reasoning
- Situation Identification by Unmanned Aerial Vehicle
- Rough-Neuro Computing
- Approximation of Information Granule Sets
- Probabilistic Inference and Bayesian Theorem on Rough Sets
- Interpreting Fuzzy Membership Functions in the Theory of Rough Sets
- Dynamic System Visualization with Rough Performance Maps
- Approximation Spaces of Type-Free Sets
- RSES and RSESlib - A Collection of Tools for Rough Set Computations
- An Investigation of β-Reduct Selection within the Variable Precision Rough Sets Model
- Application of Discernibility Tables to Calculation of Approximate Frequency Based Reducts
- Scalable Feature Selection Using Rough Set Theory
- On Algorithm for Constructing of Decision Trees with Minimal Number of Nodes
- Rough Set-Based Dimensionality Reduction for Multivariate Adaptive Regression Splines
- Rough, and Fuzzy-Rough Classification Methods Implemented in RClass System
- Rough Set Approach to Decisions under Risk
- Variable Consistency Model of Dominance-Based Rough Sets Approach
Includes bibliographical references and index
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