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Transactions on Rough Sets VI [electronic resource] : Commemorating the Life and Work of Zdzisław Pawlak, Part I / edited by James F. Peters, Andrzej Skowron, Ivo Düntsch, Jerzy Grzymała-Busse, Ewa Orłowska, Lech Polkowski.

By: Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 4374Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007Description: XII, 500 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540712008
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 005.131 23
LOC classification:
  • QA8.9-QA10.3
Online resources:
Contents:
Contributed Papers -- Propositional Logics from Rough Set Theory -- Intuitionistic Rough Sets for Database Applications -- An Experimental Comparison of Three Rough Set Approaches to Missing Attribute Values -- Pawlak’s Landscaping with Rough Sets -- A Comparison of Pawlak’s and Skowron–Stepaniuk’s Approximation of Concepts -- Data Preparation for Data Mining in Medical Data Sets -- A Wistech Paradigm for Intelligent Systems -- The Domain of Acoustics Seen from the Rough Sets Perspective -- Rule Evaluations, Attributes, and Rough Sets: Extension and a Case Study -- The Impact of Rough Set Research in China: In Commemoration of Professor Zdzis?aw Pawlak -- A Four-Valued Logic for Rough Set-Like Approximate Reasoning -- On Representation and Analysis of Crisp and Fuzzy Information Systems -- On Partial Covers, Reducts and Decision Rules with Weights -- A Personal View on AI, Rough Set Theory and Professor Pawlak -- Formal Topology and Information Systems -- On Conjugate Information Systems: A Proposition on How to Learn Concepts in Humane Sciences by Means of Rough Set Theory -- Discovering Association Rules in Incomplete Transactional Databases -- On Combined Classifiers, Rule Induction and Rough Sets -- Approximation Spaces in Multi Relational Knowledge Discovery -- Finding Relevant Attributes in High Dimensional Data: A Distributed Computing Hybrid Data Mining Strategy -- A Model PM for Preprocessing and Data Mining Proper Process -- Monographs -- Lattice Theory for Rough Sets.
In: Springer eBooks
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E-Book E-Book Central Library Available E-44181

Contributed Papers -- Propositional Logics from Rough Set Theory -- Intuitionistic Rough Sets for Database Applications -- An Experimental Comparison of Three Rough Set Approaches to Missing Attribute Values -- Pawlak’s Landscaping with Rough Sets -- A Comparison of Pawlak’s and Skowron–Stepaniuk’s Approximation of Concepts -- Data Preparation for Data Mining in Medical Data Sets -- A Wistech Paradigm for Intelligent Systems -- The Domain of Acoustics Seen from the Rough Sets Perspective -- Rule Evaluations, Attributes, and Rough Sets: Extension and a Case Study -- The Impact of Rough Set Research in China: In Commemoration of Professor Zdzis?aw Pawlak -- A Four-Valued Logic for Rough Set-Like Approximate Reasoning -- On Representation and Analysis of Crisp and Fuzzy Information Systems -- On Partial Covers, Reducts and Decision Rules with Weights -- A Personal View on AI, Rough Set Theory and Professor Pawlak -- Formal Topology and Information Systems -- On Conjugate Information Systems: A Proposition on How to Learn Concepts in Humane Sciences by Means of Rough Set Theory -- Discovering Association Rules in Incomplete Transactional Databases -- On Combined Classifiers, Rule Induction and Rough Sets -- Approximation Spaces in Multi Relational Knowledge Discovery -- Finding Relevant Attributes in High Dimensional Data: A Distributed Computing Hybrid Data Mining Strategy -- A Model PM for Preprocessing and Data Mining Proper Process -- Monographs -- Lattice Theory for Rough Sets.

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