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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

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Generalizing Rough Set Theory Through Dominance-Based Rough Set Approach
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    Chapter 2 Approximate Boolean Reasoning Approach to Rough Sets and Data Mining
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    Chapter 3 Towards Human-Level Web Intelligence
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    Chapter 4 Credibility Coefficients in ARES Rough Set Exploration System
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    Chapter 5 DIXER – Distributed Executor for Rough Set Exploration System
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    Chapter 6 ${\mathcal R}o{\mathcal S}y$ : A Rough Knowledge Base System
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    Chapter 7 A Classification Model: Syntax and Semantics for Classification
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    Chapter 8 “Rule + Exception” Strategies for Knowledge Management and Discovery
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    Chapter 9 Outlier Detection Using Rough Set Theory
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    Chapter 10 Reverse Prediction
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    Chapter 11 Prediction Mining – An Approach to Mining Association Rules for Prediction
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    Chapter 12 A Rough Set Based Model to Rank the Importance of Association Rules
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    Chapter 13 A Hierarchical Approach to Multimodal Classification
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    Chapter 14 Rough Learning Vector Quantization Case Generation for CBR Classifiers
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    Chapter 15 ML-CIDIM: Multiple Layers of Multiple Classifier Systems Based on CIDIM
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    Chapter 16 Constructing Rough Decision Forests
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    Chapter 17 Attribute Reduction in Concept Lattice Based on Discernibility Matrix
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    Chapter 18 Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers
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    Chapter 19 A Possibilistic Approach to RBFN Centers Initialization
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    Chapter 20 Intelligent Information Retrieval Based on the Variable Precision Rough Set Model and Fuzzy Sets
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    Chapter 21 A Comprehensive OWA-Based Framework for Result Merging in Metasearch
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    Chapter 22 Efficient Pattern Matching of Multidimensional Sequences
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    Chapter 23 HQC: An Efficient Method for ROLAP with Hierarchical Dimensions
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    Chapter 24 Knowledge Discovery Based Query Answering in Hierarchical Information Systems
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    Chapter 25 A Content-Based Image Quality Metric
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    Chapter 26 A Novel Method of Image Filtering Based on Iterative Fuzzy Control
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    Chapter 27 Land Cover Classification of IKONOS Multispectral Satellite Data: Neuro-fuzzy, Neural Network and Maximum Likelihood Methods
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    Chapter 28 Rough Set Approach to Sunspot Classification Problem
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    Chapter 29 Jacquard Image Segmentation Method Based on Fuzzy Optimization Technology
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    Chapter 30 Intelligent Algorithms for Optical Track Audio Restoration
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    Chapter 31 Multiresolution Pitch Analysis of Talking, Singing, and the Continuum Between
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    Chapter 32 Toward More Reliable Emotion Recognition of Vocal Sentences by Emphasizing Information of Korean Ending Boundary Tones
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    Chapter 33 Some Issues on Detecting Emotions in Music
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    Chapter 34 A Global-Motion Analysis Method via Rough-Set-Based Video Pre-classification
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    Chapter 35 Analysis and Generation of Emotionally-Charged Animated Gesticulation
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    Chapter 36 Handling Missing Attribute Values in Preterm Birth Data Sets
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    Chapter 37 Attribute Selection and Rule Generation Techniques for Medical Diagnosis Systems
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    Chapter 38 Relevant Attribute Discovery in High Dimensional Data Based on Rough Sets and Unsupervised Classification: Application to Leukemia Gene Expressions
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    Chapter 39 A Hybrid Approach to MR Imaging Segmentation Using Unsupervised Clustering and Approximate Reducts
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    Chapter 40 Analysis of Gene Expression Data: Application of Quantum-Inspired Evolutionary Algorithm to Minimum Sum-of-Squares Clustering
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    Chapter 41 An Open Source Microarray Data Analysis System with GUI: Quintet
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    Chapter 42 Similarity Index for Clustering DNA Microarray Data Based on Multi-weighted Neuron
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    Chapter 43 Screening for Ortholog Clusters Using Multipartite Graph Clustering by Quasi-Concave Set Function Optimization
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    Chapter 44 An Ontology-Based Pattern Mining System for Extracting Information from Biological Texts
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    Chapter 45 Parallel Prediction of Protein-Protein Interactions Using Proximal SVM
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    Chapter 46 Identification of Transcription Factor Binding Sites Using Hybrid Particle Swarm Optimization
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    Chapter 47 A Grid Computing-Based Monte Carlo Docking Simulations Approach for Computational Chiral Discrimination
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    Chapter 48 Web Mining of Preferred Traversal Patterns in Fuzzy Environments
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    Chapter 49 Discovering Characteristic Individual Accessing Behaviors in Web Environment
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    Chapter 50 An Efficient and Practical Algorithm for the Many-Keyword Proximity Problem by Offsets
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    Chapter 51 Simplifying the Manager Competency Model by Using the Rough Set Approach
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    Chapter 52 Financial Risk Prediction Using Rough Sets Tools: A Case Study
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    Chapter 53 Using Rough Set and Worst Practice DEA in Business Failure Prediction
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    Chapter 54 Intrusion Detection System Based on Multi-class SVM
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    Chapter 55 A Development of Intrusion Detection and Protection System Using Netfilter Framework
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    Chapter 56 A Group Decision-Making Model of Risk Evasion in Software Project Bidding Based on VPRS
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    Chapter 57 Research on Risk Probability Estimating Using Fuzzy Clustering for Dynamic Security Assessment
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    Chapter 58 Ensuring Data Security Against Knowledge Discovery in Distributed Information Systems
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    Chapter 59 A Scheme for Inference Problems Using Rough Sets and Entropy
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    Chapter 60 Towards New Areas of Security Engineering
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    Chapter 61 Application of Variable Precision Rough Set Model and Neural Network to Rotating Machinery Fault Diagnosis
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    Chapter 62 Integration of Variable Precision Rough Set and Fuzzy Clustering: An Application to Knowledge Acquisition for Manufacturing Process Planning
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    Chapter 63 An Obstacle Avoidance Technique for AUVs Based on BK-Product of Fuzzy Relations
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    Chapter 64 SVR-Based Method Forecasting Intermittent Demand for Service Parts Inventories
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    Chapter 65 Fuzzy Forecast Modeling for Gas Furnace Based on Fuzzy Sets and Rough Sets Theory
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    Chapter 66 Flexible Quality-of-Control Management in Embedded Systems Using Fuzzy Feedback Scheduling
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    Chapter 67 Improvement of Multicast Routing Protocol Using Petri Nets
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    Chapter 68 An Efficient Bandwidth Management Scheme for a Hard Real-Time Fuzzy Control System Based on the Wireless LAN
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    Chapter 69 Application of Rough Set for Routing Selection Based on OSPF Protocol
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    Chapter 70 Energy Aware Routing with Dynamic Probability Scaling
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    Chapter 71 Application of (Max, +)-Algebra to the Optimal Buffer Size in Poisson Driven Deterministic Queues in Series with Blocking
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    Chapter 72 Uncertainty Handling in Tabular-Based Requirements Using Rough Sets
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    Chapter 73 Behavioral Pattern Identification Through Rough Set Modelling
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    Chapter 74 Selecting Attributes for Soft-Computing Analysis in Hybrid Intelligent Systems
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    Chapter 75 Brain Signals: Feature Extraction and Classification Using Rough Set Methods
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    Chapter 76 On the Design and Operation of Sapient (Wise) Systems
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    Chapter 77 Three Steps to Robo Sapiens
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Title
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
Published by
Springer Science & Business Media, August 2005
DOI 10.1007/11548706
ISBNs
978-3-54-028660-8, 978-3-54-031824-8
Editors

Dominik Ślęzak, JingTao Yao, James F. Peters, Wojciech Ziarko, Xiaohua Hu

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 3%
Brazil 2 2%
Costa Rica 1 <1%
Germany 1 <1%
Portugal 1 <1%
Egypt 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 96 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 25%
Student > Master 20 19%
Student > Doctoral Student 11 10%
Student > Bachelor 9 8%
Researcher 9 8%
Other 24 22%
Unknown 7 7%
Readers by discipline Count As %
Computer Science 65 61%
Engineering 15 14%
Business, Management and Accounting 7 7%
Chemistry 2 2%
Economics, Econometrics and Finance 2 2%
Other 7 7%
Unknown 9 8%