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Rough Sets and Knowledge Technology

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Cover of 'Rough Sets and Knowledge Technology'

Table of Contents

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    Book Overview
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    Chapter 1 A Rough Set Approach to Incomplete Data
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    Chapter 2 PICKT: A Solution for Big Data Analysis
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    Chapter 3 A Further Investigation to Relative Reducts of Decision Information Systems
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    Chapter 4 Rough Sets - Past, Present and Future: Some Notes
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    Chapter 5 Interactive Granular Computing
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    Chapter 6 Rough Sets and Three-Way Decisions
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    Chapter 7 Rough Set Tools for Practical Data Exploration
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    Chapter 8 Dominance-Based Neighborhood Rough Sets and Its Attribute Reduction
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    Chapter 9 Mining Incomplete Data with Many Lost and Attribute-Concept Values
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    Chapter 10 Inconsistent Dominance Principle Based Attribute Reduction in Ordered Information Systems
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    Chapter 11 Improving Indiscernibility Matrix Based Approach for Attribute Reduction
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    Chapter 12 Imprecise Rules for Data Privacy
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    Chapter 13 Proposal for a Statistical Reduct Method for Decision Tables
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    Chapter 14 Computation of Cores in Big Datasets: An FPGA Approach
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    Chapter 15 Knowledge Spaces and Reduction of Covering Approximation Spaces
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    Chapter 16 Families of the Granules for Association Rules and Their Properties
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    Chapter 17 New Neighborhood Based Rough Sets
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    Chapter 18 Rough Sets and Textural Neighbourhoods
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    Chapter 19 Matrix Approaches for Variable Precision Rough Approximations
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    Chapter 20 The Lower Approximation Number in Covering-Based Rough Set
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    Chapter 21 The Matroidal Structures of the Second Type of Covering-Based Rough Set
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    Chapter 22 Incremental Updating Rough Approximations in Interval-valued Information Systems
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    Chapter 23 Methods and Practices of Three-Way Decisions for Complex Problem Solving
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    Chapter 24 A Multi-view Decision Model Based on CCA
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    Chapter 25 A Teacher-Cost-Sensitive Decision-Theoretic Rough Set Model
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    Chapter 26 A Three-Way Decision Making Approach to Malware Analysis
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    Chapter 27 Chinese Emotion Recognition Based on Three-Way Decisions
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    Chapter 28 Statistical Interpretations of Three-Way Decisions
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    Chapter 29 Decision-Level Sensor-Fusion Based on DTRS
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    Chapter 30 Antichain Based Semantics for Rough Sets
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    Chapter 31 Formalizing Lattice-Theoretical Aspects of Rough and Fuzzy Sets
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    Chapter 32 Generalized Fuzzy Regular Filters on Residuated Lattices
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    Chapter 33 Approximations on Normal Forms in Rough-Fuzzy Predicate Calculus
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    Chapter 34 Combining Rough Clustering Schemes as a Rough Ensemble
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    Chapter 35 Water Quality Prediction Based on a Novel Fuzzy Time Series Model and Automatic Clustering Techniques
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    Chapter 36 Clustering Algorithm Based on Fruit Fly Optimization
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    Chapter 37 Rough Set Theory Applied to Simple Undirected Graphs
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    Chapter 38 The Connectivity of the Covering Approximation Space
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    Chapter 39 Detecting Overlapping Communities with Triangle-Based Rough Local Expansion Method
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    Chapter 40 Rough Sets for Finite Mixture Model Based HEp-2 Cell Segmentation
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    Chapter 41 Water Quality Prediction Based on an Improved ARIMA- RBF Model Facilitated by Remote Sensing Applications
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    Chapter 42 Roughness in Timed Transition Systems Modeling Propagation of Plasmodium
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    Chapter 43 A Study on Similarity Calculation Method for API Invocation Sequences
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    Chapter 44 Fast Human Detection Using Deformable Part Model at the Selected Candidate Detection Positions
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    Chapter 45 A New Method for Driver Fatigue Detection Based on Eye State
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    Chapter 46 Facial Expression Recognition Based on Quaternion-Space and Multi-features Fusion
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Title
Rough Sets and Knowledge Technology
Published by
Springer International Publishing, November 2015
DOI 10.1007/978-3-319-25754-9
ISBNs
978-3-31-925753-2, 978-3-31-925754-9
Editors

Ciucci, Davide, Wang, Guoyin, Mitra, Sushmita, Wu, Wei-Zhi

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 2%
Malaysia 2 1%
Colombia 1 <1%
Switzerland 1 <1%
Indonesia 1 <1%
Finland 1 <1%
India 1 <1%
United Kingdom 1 <1%
Egypt 1 <1%
Other 6 4%
Unknown 131 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 22%
Student > Master 32 21%
Researcher 19 13%
Student > Bachelor 14 9%
Student > Doctoral Student 13 9%
Other 29 19%
Unknown 9 6%
Readers by discipline Count As %
Computer Science 71 48%
Engineering 21 14%
Mathematics 11 7%
Business, Management and Accounting 5 3%
Agricultural and Biological Sciences 3 2%
Other 21 14%
Unknown 17 11%