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Rough sets and knowledge technology : first international conference, RSKT 2006, Chongqing, China, July 24-26, 2006 : proceedings

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Cover of 'Rough sets and knowledge technology : first international conference, RSKT 2006, Chongqing, China, July 24-26, 2006 : proceedings'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Some Contributions by Zdzisław Pawlak
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    Chapter 2 Conflicts and Negotations
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    Chapter 3 Hierarchical Machine Learning – A Learning Methodology Inspired by Human Intelligence
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    Chapter 4 Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
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    Chapter 5 Towards Network Autonomy
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    Chapter 6 A Roadmap from Rough Set Theory to Granular Computing
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    Chapter 7 Partition Dependencies in Hierarchies of Probabilistic Decision Tables
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    Chapter 8 Knowledge Theory and Artificial Intelligence
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    Chapter 9 Applications of Knowledge Technologies to Sound and Vision Engineering
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    Chapter 10 A Rough Set Approach to Data with Missing Attribute Values
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    Chapter 11 Cognitive Neuroscience and Web Intelligence
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    Chapter 12 Cognitive Informatics and Contemporary Mathematics for Knowledge Manipulation
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    Chapter 13 Rough Mereological Reasoning in Rough Set Theory: Recent Results and Problems
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    Chapter 14 Theoretical Study of Granular Computing
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    Chapter 15 Knowledge Discovery by Relation Approximation: A Rough Set Approach
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    Chapter 16 Reduction-Based Approaches Towards Constructing Galois (Concept) Lattices
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    Chapter 17 A New Discernibility Matrix and Function
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    Chapter 18 The Relationships Between Variable Precision Value and Knowledge Reduction Based on Variable Precision Rough Sets Model
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    Chapter 19 On Axiomatic Characterization of Approximation Operators Based on Atomic Boolean Algebras
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    Chapter 20 Rough Set Attribute Reduction in Decision Systems
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    Chapter 21 A New Extension Model of Rough Sets Under Incomplete Information
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    Chapter 22 Applying Rough Sets to Data Tables Containing Possibilistic Information
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    Chapter 23 Redundant Data Processing Based on Rough-Fuzzy Approach
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    Chapter 24 Further Study of the Fuzzy Reasoning Based on Propositional Modal Logic
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    Chapter 25 The M-Relative Reduct Problem
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    Chapter 26 Rough Contexts and Rough-Valued Contexts
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    Chapter 27 Combination Entropy and Combination Granulation in Incomplete Information System
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    Chapter 28 An Extension of Pawlak’s Flow Graphs
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    Chapter 29 Rough Sets and Brouwer-Zadeh Lattices
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    Chapter 30 Covering-Based Generalized Rough Fuzzy Sets
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    Chapter 31 Axiomatic Systems of Generalized Rough Sets
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    Chapter 32 Rough-Sets-Based Combustion Status Diagnosis
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    Chapter 33 Research on System Uncertainty Measures Based on Rough Set Theory
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    Chapter 34 Conflict Analysis and Information Systems: A Rough Set Approach
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    Chapter 35 A Novel Discretizer for Knowledge Discovery Approaches Based on Rough Sets
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    Chapter 36 Function S-Rough Sets and Recognition of Financial Risk Laws
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    Chapter 37 Knowledge Reduction in Incomplete Information Systems Based on Dempster-Shafer Theory of Evidence
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    Chapter 38 Decision Rules Extraction Strategy Based on Bit Coded Discernibility Matrix
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    Chapter 39 Attribute Set Dependence in Apriori-Like Reduct Computation
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    Chapter 40 Some Methodological Remarks About Categorical Equivalences in the Abstract Approach to Roughness – Part I
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    Chapter 41 Some Methodological Remarks About Categorical Equivalences in the Abstract Approach to Roughness – Part II
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    Chapter 42 Lower Bounds on Minimal Weight of Partial Reducts and Partial Decision Rules
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    Chapter 43 On Reduct Construction Algorithms
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    Chapter 44 Association Reducts: Boolean Representation
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    Chapter 45 Notes on Rough Sets and Formal Concepts
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    Chapter 46 High Dimension Complex Functions Optimization Using Adaptive Particle Swarm Optimizer
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    Chapter 47 Adaptive Velocity Threshold Particle Swarm Optimization
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    Chapter 48 Relationship Between Inclusion Measure and Entropy of Fuzzy Sets
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    Chapter 49 A General Model for Transforming Vague Sets into Fuzzy Sets
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    Chapter 50 An Iterative Method for Quasi-Variational-Like Inclusions with Fuzzy Mappings
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    Chapter 51 Application of Granular Computing in Knowledge Reduction
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    Chapter 52 Advances in the Quotient Space Theory and Its Applications
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    Chapter 53 The Measures Relationships Study of Three Soft Rules Based on Granular Computing
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    Chapter 54 A Generalized Neural Network Architecture Based on Distributed Signal Processing
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    Chapter 55 Worm Harm Prediction Based on Segment Procedure Neural Networks
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    Chapter 56 Accidental Wow Defect Evaluation Using Sinusoidal Analysis Enhanced by Artificial Neural Networks
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    Chapter 57 A Constructive Algorithm for Training Heterogeneous Neural Network Ensemble
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    Chapter 58 Gene Regulatory Network Construction Using Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM)
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    Chapter 59 Mining Biologically Significant Co-regulation Patterns from Microarray Data
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    Chapter 60 Fast Algorithm for Mining Global Frequent Itemsets Based on Distributed Database
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    Chapter 61 A VPRSM Based Approach for Inducing Decision Trees
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    Chapter 62 Differential Evolution Fuzzy Clustering Algorithm Based on Kernel Methods
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    Chapter 63 Classification Rule Mining Based on Particle Swarm Optimization
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    Chapter 64 A Bottom-Up Distance-Based Index Tree for Metric Space
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    Chapter 65 Subsequence Similarity Search Under Time Shifting
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    Chapter 66 Developing a Rule Evaluation Support Method Based on Objective Indices
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    Chapter 67 Data Dimension Reduction Using Rough Sets for Support Vector Classifier
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    Chapter 68 A Comparison of Three Graph Partitioning Based Methods for Consensus Clustering
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    Chapter 69 Feature Selection, Rule Extraction, and Score Model: Making ATC Competitive with SVM
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    Chapter 70 Relevant Attribute Discovery in High Dimensional Data: Application to Breast Cancer Gene Expressions
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    Chapter 71 Credit Risk Evaluation with Least Square Support Vector Machine
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    Chapter 72 The Research of Sampling for Mining Frequent Itemsets
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    Chapter 73 ECPIA: An Email-Centric Personal Intelligent Assistant
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    Chapter 74 A Novel Fuzzy C-Means Clustering Algorithm
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    Chapter 75 Document Clustering Based on Modified Artificial Immune Network
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    Chapter 76 A Novel Approach to Attribute Reduction in Concept Lattices
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    Chapter 77 Granule Sets Based Bilevel Decision Model
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    Chapter 78 An Enhanced Support Vector Machine Model for Intrusion Detection
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    Chapter 79 A Modified K-Means Clustering with a Density-Sensitive Distance Metric
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    Chapter 80 Swarm Intelligent Tuning of One-Class ν-SVM Parameters
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    Chapter 81 A Generalized Competitive Learning Algorithm on Gaussian Mixture with Automatic Model Selection
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    Chapter 82 The Generalization Performance of Learning Machine with NA Dependent Sequence
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    Chapter 83 Using RS and SVM to Detect New Malicious Executable Codes
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    Chapter 84 Applying PSO in Finding Useful Features
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    Chapter 85 Generalized T-norm and Fractional “AND” Operation Model
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    Chapter 86 Improved Propositional Extension Rule
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    Chapter 87 Web Services-Based Digital Library as a CSCL Space Using Case-Based Reasoning
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    Chapter 88 Using Description Logic to Determine Seniority Among RB-RBAC Authorization Rules
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    Chapter 89 The Rough Logic and Roughness of Logical Theories
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    Chapter 90 Research on Multi-Agent Service Bundle Middleware for Smart Space
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    Chapter 91 A Customized Architecture for Integrating Agent Oriented Methodologies
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    Chapter 92 A New Method for Focused Crawler Cross Tunnel
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    Chapter 93 Migration of the Semantic Web Technologies into E-Learning Knowledge Management
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    Chapter 94 Opponent Learning for Multi-agent System Simulation
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    Chapter 95 A Video Shot Boundary Detection Algorithm Based on Feature Tracking
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    Chapter 96 Curvelet Transform for Image Authentication
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    Chapter 97 An Image Segmentation Algorithm for Densely Packed Rock Fragments of Uneven Illumination
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    Chapter 98 A New Chaos-Based Encryption Method for Color Image
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    Chapter 99 Support Vector Machines Based Image Interpolation Correction Scheme
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    Chapter 100 Pavement Distress Image Automatic Classification Based on DENSITY-Based Neural Network
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    Chapter 101 Towards Fuzzy Ontology Handling Vagueness of Natural Languages
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    Chapter 102 Evoked Potentials Estimation in Brain-Computer Interface Using Support Vector Machine
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    Chapter 103 Intra-pulse Modulation Recognition of Advanced Radar Emitter Signals Using Intelligent Recognition Method
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    Chapter 104 Multi-objective Blind Image Fusion
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    Chapter 105 The Design of Biopathway’s Modelling and Simulation System Based on Petri Net
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    Chapter 106 Timed Hierarchical Object-Oriented Petri Net-Part I: Basic Concepts and Reachability Analysis
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    Chapter 107 Approximate Semantic Query Based on Multi-agent Systems
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    Chapter 108 Swarm Intelligent Analysis of Independent Component and Its Application in Fault Detection and Diagnosis
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    Chapter 109 Using VPRS to Mine the Significance of Risk Factors in IT Project Management
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    Chapter 110 Mining of MicroRNA Expression Data—A Rough Set Approach
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    Chapter 111 Classifying Email Using Variable Precision Rough Set Approach
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    Chapter 112 Facial Expression Recognition Based on Rough Set Theory and SVM
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    Chapter 113 Gene Selection Using Rough Set Theory
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    Chapter 114 Attribute Reduction Based Expected Outputs Generation for Statistical Software Testing
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    Chapter 115 FADS: A Fuzzy Anomaly Detection System
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    Chapter 116 Gene Selection Using Gaussian Kernel Support Vector Machine Based Recursive Feature Elimination with Adaptive Kernel Width Strategy
Overall attention for this book and its chapters
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Title
Rough sets and knowledge technology : first international conference, RSKT 2006, Chongqing, China, July 24-26, 2006 : proceedings
Published by
Springer, January 2006
DOI 10.1007/11795131
ISBNs
978-3-54-036297-5, 978-3-54-036299-9
Authors

Wang, Guoyin

Editors

Guo-Ying Wang, James F. Peters, Andrzej Skowron, Yiyu Yao

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 25%
Student > Bachelor 4 17%
Student > Master 3 13%
Student > Doctoral Student 2 8%
Researcher 2 8%
Other 3 13%
Unknown 4 17%
Readers by discipline Count As %
Computer Science 10 42%
Mathematics 2 8%
Engineering 2 8%
Business, Management and Accounting 1 4%
Agricultural and Biological Sciences 1 4%
Other 4 17%
Unknown 4 17%