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Transactions on Rough Sets I [electronic resource] / edited by James F. Peters, Jerzy W. Grzymala-Busse, Bozena Kostek, Roman W. Swiniarski, Marcin S. Szczuka.

Contributor(s): Material type: TextSeries: Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004Edition: 1st ed. 2004Description: X, 406 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540277941
Subject(s): DDC classification:
  • 006.3 23
Online resources:
Contents:
Rough Sets – Introduction -- Some Issues on Rough Sets -- Rough Sets – Theory -- Learning Rules from Very Large Databases Using Rough Multisets -- Data with Missing Attribute Values: Generalization of Indiscernibility Relation and Rule Induction -- Generalizations of Rough Sets and Rule Extraction -- Towards Scalable Algorithms for Discovering Rough Set Reducts -- Variable Precision Fuzzy Rough Sets -- Greedy Algorithm of Decision Tree Construction for Real Data Tables -- Consistency Measures for Conflict Profiles -- Layered Learning for Concept Synthesis -- Basic Algorithms and Tools for Rough Non-deterministic Information Analysis -- A Partition Model of Granular Computing -- Rough Sets – Applications -- Musical Phrase Representation and Recognition by Means of Neural Networks and Rough Sets -- Processing of Musical Metadata Employing Pawlak’s Flow Graphs -- Data Decomposition and Decision Rule Joining for Classification of Data with Missing Values -- Rough Sets and Relational Learning -- Approximation Space for Software Models -- Application of Rough Sets to Environmental Engineering Models -- Rough Set Theory and Decision Rules in Data Analysis of Breast Cancer Patients -- Independent Component Analysis, Principal Component Analysis and Rough Sets in Face Recognition.
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Rough Sets – Introduction -- Some Issues on Rough Sets -- Rough Sets – Theory -- Learning Rules from Very Large Databases Using Rough Multisets -- Data with Missing Attribute Values: Generalization of Indiscernibility Relation and Rule Induction -- Generalizations of Rough Sets and Rule Extraction -- Towards Scalable Algorithms for Discovering Rough Set Reducts -- Variable Precision Fuzzy Rough Sets -- Greedy Algorithm of Decision Tree Construction for Real Data Tables -- Consistency Measures for Conflict Profiles -- Layered Learning for Concept Synthesis -- Basic Algorithms and Tools for Rough Non-deterministic Information Analysis -- A Partition Model of Granular Computing -- Rough Sets – Applications -- Musical Phrase Representation and Recognition by Means of Neural Networks and Rough Sets -- Processing of Musical Metadata Employing Pawlak’s Flow Graphs -- Data Decomposition and Decision Rule Joining for Classification of Data with Missing Values -- Rough Sets and Relational Learning -- Approximation Space for Software Models -- Application of Rough Sets to Environmental Engineering Models -- Rough Set Theory and Decision Rules in Data Analysis of Breast Cancer Patients -- Independent Component Analysis, Principal Component Analysis and Rough Sets in Face Recognition.

Old Kluwer collection

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