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

Por: Colaborador(es): Tipo de material: TextoTextoSeries Lecture Notes in Computer Science ; 4374 | Lecture Notes in Computer Science ; 4374Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007Descripción: XII, 500 p. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9783540712008
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 005.131 23
Clasificación LoC:
  • QA8.9-QA10.3
Recursos en línea:
Contenidos:
Springer eBooks
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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 -- Pawlaks Landscaping with Rough Sets -- A Comparison of Pawlaks and SkowronStepaniuks 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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