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

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Cover of 'New Directions in Rough Sets, Data Mining, and Granular-Soft Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Decision Rules, Bayes’ Rule and Rough Sets
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    Chapter 2 A New Direction in System Analysis: From Computation with Measurements to Computation with Perceptions
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    Chapter 3 On Text Mining Techniques for Personalization
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    Chapter 4 A Road to Discovery Science
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    Chapter 5 Calculi of Granules Based on Rough Set Theory: Approximate Distributed Synthesis and Granular Semantics for Computing with Words
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    Chapter 6 Discovery of Rules about Complications
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    Chapter 7 Rough Genetic Algorithms
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    Chapter 8 Classifying Faults in High Voltage Power Systems: A Rough-Fuzzy Neural Computational Approach
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    Chapter 9 Toward Spatial Reasoning in the Framework of Rough Mereology
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    Chapter 10 An Algorithm for Finding Equivalence Relations from Tables with Non-deterministic Information
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    Chapter 11 On the Extension of Rough Sets under Incomplete Information
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    Chapter 12 On Rough Relations: An Alternative Formulation
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    Chapter 13 Formal Rough Concept Analysis
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    Chapter 14 Noise Reduction in Telecommunication Channels Using Rough Sets and Neural Networks
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    Chapter 15 Rough Set Analysis of Electrostimulation Test Database for the Prediction of Post-Operative Profits in Cochlear Implanted Patients
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    Chapter 16 A Rough Set-Based Approach to Text Classification
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    Chapter 17 Modular Rough Fuzzy MLP: Evolutionary Design
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    Chapter 18 Approximate Reducts and Association Rules
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    Chapter 19 Handling Missing Values in Rough Set Analysis of Multi-attribute and Multi-criteria Decision Problems
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    Chapter 20 The Generic Rough Set Inductive Logic Programming Model and Motifs in Strings
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    Chapter 21 Rough Problem Settings for Inductive Logic Programming
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    Chapter 22 Using Rough Sets with Heuristics for Feature Selection
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    Chapter 23 The Discretization of Continuous Attributes Based on Compatibility Rough Set and Genetic Algorithm
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    Chapter 24 Level Cut Conditioning Approach to the Necessity Measure Specification
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    Chapter 25 Four c -Regression Methods and Classification Functions
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    Chapter 26 Context-Free Fuzzy Sets in Data Mining Context
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    Chapter 27 Applying Fuzzy Hypothesis Testing to Medical Data
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    Chapter 28 Generating a Macroeconomic Fuzzy Forecasting System Using Evolutionary Search
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    Chapter 29 Fuzzy Control of Nonlinear Systems Using Nonlinearized Parameterization
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    Chapter 30 Control of Chaotic Systems Using Fuzzy Model-Based Regulators
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    Chapter 31 Fuzzy Behavior-Based Control for the Obstacle Avoidance of Multi-link Manipulators
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    Chapter 32 Fuzzy Future Value and Annual Cash Flow Analyses
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    Chapter 33 Semi-linear Equation with Fuzzy Parameters
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    Chapter 34 First Order Rough Logic-Revisited
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    Chapter 35 A Generalized Decision Logic in Interval-Set-Valued Information Tables
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    Chapter 36 Many-Valued Dynamic Logic for Qualitative Decision Theory
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    Chapter 37 Incorporating Fuzzy Set Theory and Matrix Logic in Multi-layer Logic
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    Chapter 38 Fuzzy Logic as Interfacing Media for Constraint Propagation Based on Theories of Chu Space and Information Flow
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    Chapter 39 Pattern Reasoning: A New Solution for Knowledge Acquisition Problem
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    Chapter 40 Probabilistic Inference and Bayesian Theorem Based on Logical Implication
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    Chapter 41 Reasoning with Neural Logic Networks
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    Chapter 42 The Resolution for Rough Propositional Logic with Lower (L) and Upper (H) Approximate Operators
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    Chapter 43 Information Granules in Distributed Environment
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    Chapter 44 Evolving Granules for Classification for Discovering Difference in the Usage of Words
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    Chapter 45 Interval Evaluation by AHP with Rough Set Concept
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    Chapter 46 Interval Density Functions in Conflict Analysis
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    Chapter 47 Incorporating Personal Database Unification by Granular Computing
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    Chapter 48 Knowledge-Driven Discovery of Operational Definitions
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    Chapter 49 A Closest Fit Approach to Missing Attribute Values in Preterm Birth Data
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    Chapter 50 Visualizing Discovered Rule Sets with Visual Graphs Based on Compressed Entropy Density
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    Chapter 51 A Distance-Based Clustering and Selection of Association Rules on Numeric Attributes
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    Chapter 52 Knowledge Discovery for Protein Tertiary Substructures
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    Chapter 53 Integrating Classification and Association Rule Mining: A Concept Lattice Framework
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    Chapter 54 Using Rough Genetic and Kohonen’s Neural Network for Conceptual Cluster Discovery in Data Mining
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    Chapter 55 Towards Automated Optimal Equity Portfolios Discovery in a Knowledge Sharing Financial Data Warehouse
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    Chapter 56 Rule-Evolver: An Evolutionary Approach for Data Mining
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    Chapter 57 Decision Making with Probabilistic Decision Tables
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    Chapter 58 The Iterated Version Space Learning
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    Chapter 59 An Empirical Study on Rule Quality Measures
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    Chapter 60 Rules as Attributes in Classifier Construction
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    Chapter 61 An Algorithm to Find the Optimized Network Structure in an Incremental Learning
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    Chapter 62 Patterns in Numerical Data: Practical Approximations to Kolmogorov Complexity
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    Chapter 63 Performance Prediction for Classification Systems
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    Chapter 64 Flexible Optimization and Evolution of Underwater Autonomous Agents
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    Chapter 65 Ontology-Based Multi-agent Model of an Information Security System
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    Chapter 66 Optimal Multi-scale Time Series Decomposition for Financial Forecasting Using Wavelet Thresholding Techniques
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    Chapter 67 Computerized Spelling Recognition of Words Expressed in the Sound Approach
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    Chapter 68 An Adaptive Handwriting Recognition System
Overall attention for this book and its chapters
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Citations

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Title
New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
Published by
Springer Science & Business Media, October 1999
DOI 10.1007/b72293
ISBNs
978-3-54-066645-5, 978-3-54-048061-7
Editors

Zhong, Ning, Skowron, Andrzej, Ohsuga, Setsuo

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 13%
Unknown 7 88%
Readers by discipline Count As %
Computer Science 1 13%
Unknown 7 88%

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