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Rough Sets and Current Trends in Computing

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Cover of 'Rough Sets and Current Trends in Computing'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Deviation and Association Patterns for Subgroup Mining in Temporal, Spatial, and Textual Data Bases
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    Chapter 2 The Paradox of the Heap of Grains in Respect to Roughness, Fuzziness and Negligibility
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    Chapter 3 Rough Sets - What Are They About?
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    Chapter 4 Reasoning about Data — A Rough Set Perspective
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    Chapter 5 Information Granulation and its Centrality in Human and Machine Intelligence
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    Chapter 6 Classification Strategies Using Certain and Possible Rules
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    Chapter 7 Well-Behaviored Operations for Approximate Sets
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    Chapter 8 Searching for Frequential Reducts in Decision Tables with Uncertain Objects
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    Chapter 9 A New Rough Set Approach to Multicriteria and Multiattribute Classification
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    Chapter 10 A Heuristic Method of Model Choice for Nonlinear Regression
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    Chapter 11 How a New Statistical Infrastructure Induced a New Computing Trend in Data Analysis
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    Chapter 12 Some Remarks on Networks of Parallel Language Processors
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    Chapter 13 Molecular Computation for Genetic Algorithms
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    Chapter 14 Marcus Contextual Languages and their Cut-and-Paste Properties
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    Chapter 15 Contextual Multilanguages: A Learning Method
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    Chapter 16 On Recognition of Words from Languages Generated by Linear Grammars with One Nonterminal Symbol
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    Chapter 17 Approximation Spaces and Definability for Incomplete Information Systems
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    Chapter 18 Intrinsic Co-Heyting Boundaries and Information Incompleteness in Rough Set Analysis
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    Chapter 19 Multifunctions as Approximation Operations in Generalized Approximation Spaces
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    Chapter 20 Preimage Relations and Their Matrices
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    Chapter 21 Cellular Neural Networks for Navigation of a Mobile Robot
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    Chapter 22 The Takagi-Sugeno Fuzzy Model Identification Method of Parameter Varying Systems
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    Chapter 23 Sensing of Arc Length and Wire Extension Using Neural Network in Robotic Welding
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    Chapter 24 Traffic Signal Control Using Multi-layered Fuzzy Control
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    Chapter 25 Approximation Region-Based Decision Tables
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    Chapter 26 A Model of RSDM Implementation
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    Chapter 27 Handling Queries in Incomplete CKBS through Knowledge Discovery
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    Chapter 28 Learning Logical Descriptions for Document Understanding: A Rough Sets-Based Approach
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    Chapter 29 Integrating KDD Algorithms and RDBMS Code
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    Chapter 30 Fast Discovery of Representative Association Rules
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    Chapter 31 Rough Classifiers Sensitive to Costs Varying from Object to Object
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    Chapter 32 Soft Techniques to Data Mining
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    Chapter 33 Business Process Understanding: Mining Many Datasets
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    Chapter 34 A Genetic Algorithm for Switchbox Routing Problem
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    Chapter 35 On the Benefits of Random Memorizing in Local Evolutionary Search
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    Chapter 36 An Application of Genetic Algorithms to Floorplanning of VLSI
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    Chapter 37 Learning with Delayed Rewards in Ant Systems for the Job-Shop Scheduling Problem
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    Chapter 38 Fuzzy Extension of Rough Sets Theory
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    Chapter 39 Fuzzy Similarity Relation as a Basis for Rough Approximations
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    Chapter 40 Approximation Spaces in Extensions of Rough Set Theory
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    Chapter 41 On Generalizing Pawlak Approximation Operators
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    Chapter 42 Real-Time Real-World Visual Classification — Making Computational Intelligence Fly
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    Chapter 43 Fractal Operator Convergence by Analysis of Influence Graph
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    Chapter 44 Pattern Recognition by Invariant Reference Points
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    Chapter 45 An Analysis of Context Selection in Embedded Wavelet Coders
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    Chapter 46 Equivalent Characterization of a Class of Conditional Probabilistic Independencies
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    Chapter 47 A New Qualitative Rough-Set Approach to Modeling Belief Functions
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    Chapter 48 On Stability of Oja Algorithm
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    Chapter 49 Transform Vector Quantization of Images in One Dimension
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    Chapter 50 Daubechies Filters for 2D Wavelet Transforms
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    Chapter 51 Some Heuristics for Default Knowledge Discovery
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    Chapter 52 Fuzzy Partitions II: Belief Functions A Probabilistic View
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    Chapter 53 Frameworks for Mining Binary Relations in Data
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    Chapter 54 Handling Continuous Attributes in Discovery of Strong Decision Rules
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    Chapter 55 Covering with Reducts - A Fast Algorithm for Rule Generation
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    Chapter 56 Syntactical Content of Finite Approximations of Partial Algebras
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    Chapter 57 A New Approach to Linguistic Negation based upon Compatibility Level and Tolerance Threshold
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    Chapter 58 Some Issues on Nondeterministic Knowledge Bases with Incomplete and Selective Information
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    Chapter 59 The OI-Resolution of Operator Rough Logic
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    Chapter 60 Pedagogical Method for Extraction of Symbolic Knowledge
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    Chapter 61 Wavelets, Rough Sets and Artificial Neural Networks in EEG Analysis
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    Chapter 62 Parallel Computation of Reducts
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    Chapter 63 Rough Rules in Prolog
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    Chapter 64 Tuning the Perceptual Noise Reduction Algorithm Using Rough Sets
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    Chapter 65 Modelling Medical Diagnostic Rules Based on Rough Sets
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    Chapter 66 Discretization of Continuous Attributes on Decision System in Mitochondrial Encephalomyopathies
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    Chapter 67 Approximate Time Rough Control: Concepts and Application to Satellite Attitude Control
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    Chapter 68 Some Relationships between Decision Trees and Decision Rule Systems
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    Chapter 69 On Decision Trees with Minimal Average Depth
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    Chapter 70 On Diagnosis of Retaining Faults in Circuits
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    Chapter 71 On the Depth of Decision Trees for Diagnosing of Nonelementary Faults in Circuits
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    Chapter 72 Discovery of Decision Rules by Matching New Objects Against Data Tables
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    Chapter 73 Rule+Exception Modeling Based on Rough Set Theory
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    Chapter 74 On Finding Optimal Discretizations for Two Attributes
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    Chapter 75 Discretization Problem for Rough Sets Methods
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    Chapter 76 Rough Mereology for Industrial Design
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    Chapter 77 Optimal Stochastic Scaling of CAE Parallel Computations
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    Chapter 78 CBR for Complex Objects Represented in Hierarchical Information Systems
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    Chapter 79 Application of the Information Measures to Input Support Selection in Functional Decomposition
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    Chapter 80 Modelling Social Game Systems by Rule Complexes
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    Chapter 81 Analysis and Synthesis of Information Systems with Information Relationships and Measures
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    Chapter 82 Approximations in Data Mining
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    Chapter 83 Purchase Prediction in Database Marketing with the ProbRough System
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    Chapter 84 Rough Sets in Optical Character Recognition
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    Chapter 85 ROSE - Software Implementation of the Rough Set Theory
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    Chapter 86 Rough Sets and Bayesian Methods Applied to Cancer Detection
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    Chapter 87 Rough Sets and Neural Networks Application to Handwritten Character Recognition by Complex Zernike Moments
Attention for Chapter 3: Rough Sets - What Are They About?
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Chapter title
Rough Sets - What Are They About?
Chapter number 3
Book title
Rough Sets and Current Trends in Computing
Published by
Springer, Berlin, Heidelberg, June 1998
DOI 10.1007/3-540-69115-4_3
Book ISBNs
978-3-54-064655-6, 978-3-54-069115-0
Authors

V. Wiktor Marek, Mirosław Truszczyński

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 100%
Readers by discipline Count As %
Computer Science 1 100%