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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
  2. Altmetric Badge
    Chapter 1 Deviation and Association Patterns for Subgroup Mining in Temporal, Spatial, and Textual Data Bases
  3. Altmetric Badge
    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
  73. Altmetric Badge
    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 72: Discovery of Decision Rules by Matching New Objects Against Data Tables
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Chapter title
Discovery of Decision Rules by Matching New Objects Against Data Tables
Chapter number 72
Book title
Rough Sets and Current Trends in Computing
Published by
Springer, Berlin, Heidelberg, June 1998
DOI 10.1007/3-540-69115-4_72
Book ISBNs
978-3-54-064655-6, 978-3-54-069115-0
Authors

Jan G. Bazan, Bazan, Jan G.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 20%
Unknown 4 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 60%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 3 60%
Economics, Econometrics and Finance 1 20%
Unknown 1 20%