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Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

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Cover of 'Rough Sets, Fuzzy Sets, Data Mining and Granular Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Construction and Analysis of Web-Based Computer Science Information Networks
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    Chapter 2 Towards Faster Estimation of Statistics and ODEs Under Interval, P-Box, and Fuzzy Uncertainty: From Interval Computations to Rough Set-Related Computations
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    Chapter 3 Rough Set Based Uncertain Knowledge Expressing and Processing
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    Chapter 4 What is a Fuzzy Concept Lattice? II
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    Chapter 5 Rough Set Based Ensemble Classifier
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    Chapter 6 The Use of Rough Set Methods in Knowledge Discovery in Databases
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    Chapter 7 Fuzzy-Rough Data Mining
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    Chapter 8 Dual Rough Approximations in Information Tables with Missing Values
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    Chapter 9 Rough Sets and General Basic Set Assignments
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    Chapter 10 General Tool-Based Approximation Framework Based on Partial Approximation of Sets
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    Chapter 11 An Improved Variable Precision Model of Dominance-Based Rough Set Approach
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    Chapter 12 Rough Numbers and Rough Regression
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    Chapter 13 Covering Numbers in Covering-Based Rough Sets
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    Chapter 14 On Coverings of Rough Transformation Semigroups
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    Chapter 15 Covering Rough Set Model Based on Multi-granulations
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    Chapter 16 A Descriptive Language Based on Granular Computing – Granular Logic
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    Chapter 17 Optimization and Adaptation of Dynamic Models of Fuzzy Relational Cognitive Maps
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    Chapter 18 Sensitivity Analysis for Fuzzy Linear Programming Problems
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    Chapter 19 Estimation of Parameters of the Empirically Reconstructed Fuzzy Model of Measurements
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    Chapter 20 Dominance-Based Rough Set Approach for Possibilistic Information Systems
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    Chapter 21 Creating Fuzzy Concepts: the One-Sided Threshold, Fuzzy Closure and Factor Analysis Methods
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    Chapter 22 Position Paper: Pragmatics in Fuzzy Theory
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    Chapter 23 Regularization of Fuzzy Cognitive Maps for Hybrid Decision Support System
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    Chapter 24 On Designing of Flexible Neuro-Fuzzy Systems for Nonlinear Modelling
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    Chapter 25 Time Series Processing and Forecasting Using Soft Computing Tools
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    Chapter 26 Fuzzy Linear Programming – Foreign Exchange Market
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    Chapter 27 Fuzzy Optimal Solution of Fuzzy Transportation Problems with Transshipments
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    Chapter 28 Fuzzy Optimal Solution of Fully Fuzzy Project Crashing Problems with New Representation of LR Flat Fuzzy Numbers
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    Chapter 29 A Prototype System for Rule Generation in Lipski’s Incomplete Information Databases
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    Chapter 30 How to Reconstruct the System’s Dynamics by Differentiating Interval-Valued and Set-Valued Functions
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    Chapter 31 Symbolic Galois Lattices with Pattern Structures
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    Chapter 32 Multiargument Relationships in Fuzzy Databases with Attributes Represented by Interval-Valued Possibility Distributions
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    Chapter 33 Disjunctive Set-Valued Ordered Information Systems Based on Variable Precision Dominance Relation
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    Chapter 34 An Interval-Valued Fuzzy Soft Set Approach for Normal Parameter Reduction
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    Chapter 35 Incorporating Game Theory in Feature Selection for Text Categorization
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    Chapter 36 Attribute Reduction in Random Information Systems with Fuzzy Decisions
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    Chapter 37 Discernibility-Matrix Method Based on the Hybrid of Equivalence and Dominance Relations
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    Chapter 38 Studies on an Effective Algorithm to Reduce the Decision Matrix
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    Chapter 39 Accumulated Cost Based Test-Cost-Sensitive Attribute Reduction
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    Chapter 40 Approximate Bicluster and Tricluster Boxes in the Analysis of Binary Data
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    Chapter 41 From Triconcepts to Triclusters
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    Chapter 42 Learning Inverted Dirichlet Mixtures for Positive Data Clustering
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    Chapter 43 Developing Additive Spectral Approach to Fuzzy Clustering
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    Chapter 44 Data-Driven Adaptive Selection of Rules Quality Measures for Improving the Rules Induction Algorithm
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    Chapter 45 Relationships between Depth and Number of Misclassifications for Decision Trees
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    Chapter 46 Dynamic Successive Feed-Forward Neural Network for Learning Fuzzy Decision Tree
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    Chapter 47 An Improvement for Fast-Flux Service Networks Detection Based on Data Mining Techniques
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    Chapter 48 Online Learning Algorithm for Ensemble of Decision Rules
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    Chapter 49 Automatic Image Annotation Based on Low-Level Features and Classification of the Statistical Classes
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    Chapter 50 Machine Learning Methods in Character Recognition
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    Chapter 51 A Liouville-Based Approach for Discrete Data Categorization
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    Chapter 52 Image Recognition with a Large Database Using Method of Directed Enumeration Alternatives Modification
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    Chapter 53 Comparators for Compound Object Identification
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    Chapter 54 Measuring Implicit Attitudes in Human-Computer Interactions
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    Chapter 55 Visualization of Semantic Network Fragments Using Multistripe Layout
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    Chapter 56 Pawlak Collaboration Graph and Its Properties
Overall attention for this book and its chapters
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Title
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Published by
Springer Berlin Heidelberg, June 2011
DOI 10.1007/978-3-642-21881-1
ISBNs
978-3-64-221880-4, 978-3-64-221881-1
Editors

Kuznetsov, Sergei O., Ślęzak, Dominik, Hepting, Daryl H., Mirkin, Boris G.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 25%
Researcher 1 25%
Other 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 2 50%
Unknown 2 50%