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Rough Sets and Knowledge Technology

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Cover of 'Rough Sets and Knowledge Technology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Generalized Dominance-Based Rough Set Model for the Dominance Intuitionistic Fuzzy Information Systems
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    Chapter 2 On Definability and Approximations in Partial Approximation Spaces
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    Chapter 3 Many-Valued Rough Sets Based on Tied Implications
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    Chapter 4 On the Topological Structure of Rough Soft Sets
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    Chapter 5 Knowledge Granulation in Interval-Valued Information Systems Based on Maximal Consistent Blocks
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    Chapter 6 Multi-granulation Rough Sets Based on Central Sets
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    Chapter 7 Rough Set Theory on Topological Spaces
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    Chapter 8 Co-training Based Attribute Reduction for Partially Labeled Data
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    Chapter 9 Approximate Reduction for the Interval-Valued Decision Table
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    Chapter 10 Global Best Artificial Bee Colony for Minimal Test Cost Attribute Reduction
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    Chapter 11 Reductions of Intuitionistic Fuzzy Covering Systems Based on Discernibility Matrices
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    Chapter 12 Multi-label Feature Selection with Fuzzy Rough Sets
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    Chapter 13 A Logarithmic Weighted Algorithm for Minimal Test Cost Attribute Reduction
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    Chapter 14 Attribute Reduction in Object Oriented Concept Lattices Based on Congruence Relations
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    Chapter 15 An Explicit Sparse Mapping for Nonlinear Dimensionality Reduction
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    Chapter 16 A Web-Based Learning Support System for Rough Sets
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    Chapter 17 A Parallel Matrix-Based Approach for Computing Approximations in Dominance-Based Rough Sets Approach
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    Chapter 18 Propositional Compilation for All Normal Parameter Reductions of a Soft Set
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    Chapter 19 Top-N Recommendation Based on Granular Association Rules
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    Chapter 20 An Efficient BP-Neural Network Classification Model Based on Attribute Reduction
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    Chapter 21 Hardware Accelerator Design Based on Rough Set Philosophy
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    Chapter 22 Properties of Central Catadioptric Circle Images and Camera Calibration
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    Chapter 23 Communication Network Anomaly Detection Based on Log File Analysis
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    Chapter 24 Using the Multi-instance Learning Method to Predict Protein-Protein Interactions with Domain Information
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    Chapter 25 An Improved Decimation of Triangle Meshes Based on Curvature
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    Chapter 26 A Community Detecting Algorithm Based on Granular Computing
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    Chapter 27 A Robust Online Tracking-Detection Co-training Algorithm with Applications to Vehicle Recognition
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    Chapter 28 An Approach for Automatically Reasoning Consistency of Domain-Specific Modelling Language
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    Chapter 29 Online Object Tracking via Collaborative Model within the Cascaded Feedback Framework
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    Chapter 30 Optimal Subspace Learning for Sparse Representation Based Classifier via Discriminative Principal Subspaces Alignment
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    Chapter 31 A Statistics-Based Semantic Relation Analysis Approach for Document Clustering
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    Chapter 32 Multi-granulation Ensemble Classification for Incomplete Data
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    Chapter 33 Rough Sets and Knowledge Technology
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    Chapter 34 Mixed Pooling for Convolutional Neural Networks
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    Chapter 35 An Approach for In-Database Scoring of R Models on DB2 for z/OS
  37. Altmetric Badge
    Chapter 36 On the FM α -Integral of Fuzzy-Number-Valued Functions
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    Chapter 37 Rough Classification Based on Correlation Clustering
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    Chapter 38 An Improved Hybrid ARIMA and Support Vector Machine Model for Water Quality Prediction
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    Chapter 39 Multi-label Supervised Manifold Ranking for Multi-instance Image Retrieval
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    Chapter 40 Nearest Neighbor Condensation Based on Fuzzy Rough Set for Classification
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    Chapter 41 Predicting Movies User Ratings with Imdb Attributes
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    Chapter 42 Feature Selection for Multi-label Learning Using Mutual Information and GA
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    Chapter 43 Characterizing Hierarchies on Covering-Based Multigranulation Spaces
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    Chapter 44 Uncertainty Measures in Interval-Valued Information Systems
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    Chapter 45 A New Type of Covering-Based Rough Sets
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    Chapter 46 A Feature Seletion Method Based on Variable Precision Tolerance Rough Sets
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    Chapter 47 Incremental Approaches to Computing Approximations of Sets in Dynamic Covering Approximation Spaces
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    Chapter 48 Knowledge Approximations in Multi-scale Ordered Information Systems
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    Chapter 49 An Addition Strategy for Reduct Construction
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    Chapter 50 Analysis of User-Weighted π Rough k-Means
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    Chapter 51 An Automatic Virtual Calibration of RF-Based Indoor Positioning with Granular Analysis
  53. Altmetric Badge
    Chapter 52 Algebraic Structure of Fuzzy Soft Sets
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    Chapter 53 A Rapid Granular Method for Minimization of Boolean Functions
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    Chapter 54 QoS-Aware Cloud Service Selection Based on Uncertain User Preference
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    Chapter 55 Attribute Reduction in Decision-Theoretic Rough Set Model Using MapReduce
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    Chapter 56 A Context-Aware Recommender System with a Cognition Inspired Model
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    Chapter 57 Study on Fuzzy Comprehensive Evaluation Model of Education E-government Performance in Colleges and Universities
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    Chapter 58 Parallel Attribute Reduction Based on MapReduce
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    Chapter 59 Dynamic Ensemble of Rough Set Reducts for Data Classification
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    Chapter 60 Intuitionistic Fuzzy Rough Approximation Operators Determined by Intuitionistic Fuzzy Triangular Norms
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    Chapter 61 Covering Approximations in Set-Valued Information Systems
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    Chapter 62 Rough Fuzzy Set Model for Set-Valued Ordered Fuzzy Decision System
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    Chapter 63 Optimal-Neighborhood Statistics Rough Set Approach with Multiple Attributes and Criteria
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    Chapter 64 Thresholds Determination for Probabilistic Rough Sets with Genetic Algorithms
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    Chapter 65 Three-Way Weighted Entropies and Three-Way Attribute Reduction
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    Chapter 66 Applying Three-way Decisions to Sentiment Classification with Sentiment Uncertainty
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    Chapter 67 Three-Way Formal Concept Analysis
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    Chapter 68 Three-Way Decision Based on Belief Function
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    Chapter 69 Semantically Enhanced Clustering in Retail Using Possibilistic K-Modes
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    Chapter 70 A Three-Way Decisions Clustering Algorithm for Incomplete Data
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    Chapter 71 Sentiment Analysis with Automatically Constructed Lexicon and Three-Way Decision
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    Chapter 72 A Novel Intelligent Multi-attribute Three-Way Group Sorting Method Based on Dempster-Shafer Theory
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    Chapter 73 Dynamic Maintenance of Three-Way Decision Rules
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    Chapter 74 An Overview of Function Based Three-Way Decisions
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    Chapter 75 Multicost Decision-Theoretic Rough Sets Based on Maximal Consistent Blocks
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    Chapter 76 A Method to Reduce Boundary Regions in Three-Way Decision Theory
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    Chapter 77 An Integrated Method for Micro-blog Subjective Sentence Identification Based on Three-Way Decisions and Naive Bayes
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    Chapter 78 Probabilistic Rough Set Model Based on Dominance Relation
Overall attention for this book and its chapters
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Title
Rough Sets and Knowledge Technology
Published by
Springer International Publishing, September 2014
DOI 10.1007/978-3-319-11740-9
ISBNs
978-3-31-911739-3, 978-3-31-911740-9
Editors

Miao, Duoqian, Pedrycz, Witold, Ślȩzak, Dominik, Peters, Georg, Hu, Qinghua, Wang, Ruizhi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 15%
Student > Ph. D. Student 13 14%
Student > Bachelor 8 9%
Lecturer 6 7%
Student > Doctoral Student 3 3%
Other 11 12%
Unknown 37 40%
Readers by discipline Count As %
Computer Science 27 29%
Engineering 11 12%
Mathematics 4 4%
Business, Management and Accounting 3 3%
Agricultural and Biological Sciences 2 2%
Other 3 3%
Unknown 42 46%