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Rough Sets and Knowledge Technology

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Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Mining Incomplete Data—A Rough Set Approach
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    Chapter 2 Uncertainty and Feature Selection in Rough Set Theory
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    Chapter 3 Towards Designing Human Centric Systems: A New View at System Modeling with Granular Membership Grades
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    Chapter 4 Sufficiently Near Sets of Neighbourhoods
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    Chapter 5 History of Set Theory and Its Extensions in the Context of Soft Computing
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    Chapter 6 Comparison of Classical Dimensionality Reduction Methods with Novel Approach Based on Formal Concept Analysis
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    Chapter 7 Rule-Based Estimation of Attribute Relevance
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    Chapter 8 Applications of Approximate Reducts to the Feature Selection Problem
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    Chapter 9 Dependence and Algebraic Structure of Formal Contexts
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    Chapter 10 Optimal Sub-Reducts with Test Cost Constraint
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    Chapter 11 An Efficient Fuzzy-Rough Attribute Reduction Approach
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    Chapter 12 A Novel Attribute Reduction Approach Based on the Object Oriented Concept Lattice
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    Chapter 13 Rough-Set-Inspired Feature Subset Selection, Classifier Construction, and Rule Aggregation
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    Chapter 14 A Constructive Feature Induction Mechanism Founded on Evolutionary Strategies with Fitness Functions Generated on the Basis of Decision Trees
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    Chapter 15 An Efficient Fuzzy Rough Approach for Feature Selection
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    Chapter 16 Partitions, Coverings, Reducts and Rule Learning in Rough Set Theory
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    Chapter 17 A Rough Set Approach to Feature Selection Based on Relative Decision Entropy
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    Chapter 18 A Variable Precision Covering Generalized Rough Set Model
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    Chapter 19 Dominance-Based Rough Set Approach on Pairwise Comparison Tables to Decision Involving Multiple Decision Makers
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    Chapter 20 Generalized Parameterized Approximations
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    Chapter 21 Transversal and Function Matroidal Structures of Covering-Based Rough Sets
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    Chapter 22 Some Fuzzy Topologies Induced by Rough Fuzzy Sets
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    Chapter 23 Neighborhood Rough Sets Based Matrix Approach for Calculation of the Approximations
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    Chapter 24 Case-Based Classifiers with Fuzzy Rough Sets
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    Chapter 25 Comparison of Greedy Algorithms for α -Decision Tree Construction
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    Chapter 26 Constructing an Optimal Decision Tree for FAST Corner Point Detection
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    Chapter 27 Incremental Learning in AttributeNets with Dynamic Reduct and IQuickReduct
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    Chapter 28 LEM2-Based Rule Induction from Data Tables with Imprecise Evaluations
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    Chapter 29 An Extension to Rough c -Means Clustering
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    Chapter 30 A Modified Cop-Kmeans Algorithm Based on Sequenced Cannot-Link Set
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    Chapter 31 A NIS-Apriori Based Rule Generator in Prolog and Its Functionality for Table Data
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    Chapter 32 Towards a Practical Approach to Discover Internal Dependencies in Rule-Based Knowledge Bases
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    Chapter 33 Discovering Patterns of Collaboration in Rough Set Research: Statistical and Graph-Theoretical Approach
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    Chapter 34 Comparing a Clustering Density Criteria of Temporal Patterns of Terms Obtained by Different Feature Sets
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    Chapter 35 Similarity of Query Results in Similarity-Based Databases
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    Chapter 36 Rough Set Based Quality of Service Design for Service Provisioning in Clouds
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    Chapter 37 GTrust: A Distributed Trust Model in Multi-Agent Systems Based on Grey System Theory
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    Chapter 38 Linear Necessity Measures and Their Applications to Possibilistic Linear Programming
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    Chapter 39 Remarks on Pairwise Comparison Numerical and Non-numerical Rankings
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    Chapter 40 Community-Based Relational Markov Networks in Complex Networks
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    Chapter 41 Applying Multi-Criteria Decision Analysis to Global Software Development with Scrum Project Planning
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    Chapter 42 Accuracy Evaluation of the System of Type 1 Diabetes Prediction
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    Chapter 43 Driver Status Recognition by Neighborhood Covering Rules
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    Chapter 44 Application of Gravitational Search Algorithm on Data Clustering
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    Chapter 45 Application of Rough Sets in GIS Generalization
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    Chapter 46 Application of Rough Set Theory for Evaluating Polysaccharides Extraction
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    Chapter 47 Identification of Print Technology Based on Homogeneous Regions of Image
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    Chapter 48 Ant Based Clustering of MMPI Data - An Experimental Study
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    Chapter 49 Detection of Cancer Patients Using an Innovative Method for Learning at Imbalanced Datasets
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    Chapter 50 Information Reuse in Hospital Information Systems: A Similarity-Oriented Data Mining Approach
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    Chapter 51 Rough Sets and Knowledge Technology
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    Chapter 52 Clustering of Rough Set Related Documents with Use of Knowledge from DBpedia
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    Chapter 53 Case-Based Reasoning Using Dominance-Based Decision Rules
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    Chapter 54 RoSetOn: The Open Project for Ontology of Rough Sets and Related Fields
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    Chapter 55 Fuzzy Description of Air Quality: A Case Study
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    Chapter 56 A Robust Face Recognition Method Based on AdaBoost, EHMM and Sample Perturbation
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    Chapter 57 Roughness Approach to Color Image Segmentation through Smoothing Local Difference
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    Chapter 58 On Local Inclusion Degree of Intuitionistic Fuzzy Sets
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    Chapter 59 Analysis of Data-Driven Parameters in Game-Theoretic Rough Sets
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    Chapter 60 An Optimization Viewpoint of Decision-Theoretic Rough Set Model
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    Chapter 61 Attribute Reduction in Decision-Theoretic Rough Set Model: A Further Investigation
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    Chapter 62 A New Discriminant Analysis Approach under Decision-Theoretic Rough Sets
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    Chapter 63 Construction of α -Decision Trees for Tables with Many-Valued Decisions
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    Chapter 64 Decision Making in Incomplete Information System Based on Decision-Theoretic Rough Sets
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    Chapter 65 Automatically Determining the Number of Clusters Using Decision-Theoretic Rough Set
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    Chapter 66 A New Formulation of Multi-category Decision-Theoretic Rough Sets
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    Chapter 67 Parallel Computation in Finding Near Neighbourhoods
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    Chapter 68 ε -Near Collections
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    Chapter 69 Nearness of Subtly Different Digital Images
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    Chapter 70 A Generalization of Near Set Model
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    Chapter 71 Gauges, Pregauges and Completions: Some Theoretical Aspects of Near and Rough Set Approaches to Data
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    Chapter 72 Path Queries on Massive Graphs Based on Multi-granular Graph Partitioning
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    Chapter 73 A Minimal Test Suite Generation Method Based on Quotient Space Theory
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    Chapter 74 Audio Signal Blind Deconvolution Based on the Quotient Space Hierarchical Theory
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    Chapter 75 The Optimal Approximation of Fuzzy Tolerance Relation
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    Chapter 76 A New Method for Inconsistent Multicriteria Classification
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    Chapter 77 Probabilistic Similarity-Based Reduct
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    Chapter 78 Inference Processes in Decision Support Systems with Incomplete Knowledge
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    Chapter 79 Synthesis of Synchronized Concurrent Systems Specified by Information Systems
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    Chapter 80 Efficiency of Complex Data Clustering
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    Chapter 81 The Extraction Method of DNA Microarray Features Based on Experimental A Statistics
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    Chapter 82 Granular Structures in Graphs
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    Chapter 83 Fuzzy Rough Granular Self Organizing Map
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    Chapter 84 Knowledge Acquisition in Inconsistent Multi-scale Decision Systems
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    Chapter 85 Rough Sets and Knowledge Technology
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    Chapter 86 Rough Relations, Neighborhood Relations, and Granular Computing
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    Chapter 87 Comparing Clustering Schemes at Two Levels of Granularity for Mobile Call Mining
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    Chapter 88 Granular-Based Partial Periodic Pattern Discovery over Time Series Data
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    Chapter 89 Approximations of Functions: Toward Rough Granular Calculus
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    Chapter 90 Bipartite Graphs and Coverings
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    Chapter 91 Covering-Based Reduction of Object-Oriented Concept Lattices
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    Chapter 92 Top-Down Progressive Computing
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    Chapter 93 Rough Sets and Knowledge Technology
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    Chapter 94 Hierarchical Qualitative Inference Model with Substructures
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    Chapter 95 Decision Rules for Decision Tables with Many-Valued Decisions
Overall attention for this book and its chapters
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Citations

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Title
Rough Sets and Knowledge Technology
Published by
Springer Berlin Heidelberg, October 2011
DOI 10.1007/978-3-642-24425-4
ISBNs
978-3-64-224424-7, 978-3-64-224425-4
Editors

Yao, JingTao, Ramanna, Sheela, Wang, Guoyin, Suraj, Zbigniew, Yao, JingTao, Ramanna, Sheela, Wang, Guoyin, Suraj, Zbigniew

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Student > Ph. D. Student 1 33%
Professor > Associate Professor 1 33%
Readers by discipline Count As %
Environmental Science 1 33%
Engineering 1 33%
Unknown 1 33%