Combinatorial Machine Learning: A Rough Set Approach - Couverture souple

Moshkov, Mikhail; Zielosko, Beata

9783642269011: Combinatorial Machine Learning: A Rough Set Approach

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ISBN 10 : 364226901X ISBN 13 : 9783642269011

Editeur : Springer, 2013

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This book explores decision trees and decision rule systems, rules and reducts, examines relationships among these objects and reviews the design of algorithms for construction of trees, rules and reducts. Includes carefully selected illustrative proofs.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteurSpringer
Date d'�dition2013
ISBN 10 364226901X
ISBN 13 9783642269011
ReliureBroch�
Langueanglais
Nombre de pages196

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9783642209949: Combinatorial Machine Learning: A Rough Set Approach

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ISBN 10 : 3642209947 ISBN 13 : 9783642209949
Editeur : Springer-Verlag Berlin and Heide..., 2011
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Combinatorial Machine Learning: A Rough Set Approach (Studies in Computational Intelligence, 360)

Moshkov, Mikhail; Zielosko, Beata

Edit� par Springer, 2013

ISBN 10 : 364226901X ISBN 13 : 9783642269011

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Combinatorial Machine Learning

Beata Zielosko

Edit� par Springer Berlin Heidelberg Aug 2013, 2013

ISBN 10 : 364226901X ISBN 13 : 9783642269011

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Decision trees and decision rule systems are widely used in different applicationsas algorithms for problem solving, as predictors, and as a way forknowledge representation. Reducts play key role in the problem of attribute(feature) selection. The aims of this book are (i) the consideration of the setsof decision trees, rules and reducts; (ii) study of relationships among theseobjects; (iii) design of algorithms for construction of trees, rules and reducts;and (iv) obtaining bounds on their complexity. Applications for supervisedmachine learning, discrete optimization, analysis of acyclic programs, faultdiagnosis, and pattern recognition are considered also. This is a mixture ofresearch monograph and lecture notes. It contains many unpublished results.However, proofs are carefully selected to be understandable for students.The results considered in this book can be useful for researchers in machinelearning, data mining and knowledge discovery, especially for those who areworking in rough set theory, test theory and logical analysis of data. The bookcan be used in the creation of courses for graduate students. 196 pp. Englisch. N� de r�f. du vendeur 9783642269011

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Combinatorial Machine Learning: A Rough Set Approach (Studies in Computational Intelligence, 360)

Moshkov, Mikhail; Zielosko, Beata

Edit� par Springer, 2013

ISBN 10 : 364226901X ISBN 13 : 9783642269011

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Combinatorial Machine Learning : A Rough Set Approach

Beata Zielosko

Edit� par Springer Berlin Heidelberg, 2013

ISBN 10 : 364226901X ISBN 13 : 9783642269011

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Decision trees and decision rule systems are widely used in different applicationsas algorithms for problem solving, as predictors, and as a way forknowledge representation. Reducts play key role in the problem of attribute(feature) selection. The aims of this book are (i) the consideration of the setsof decision trees, rules and reducts; (ii) study of relationships among theseobjects; (iii) design of algorithms for construction of trees, rules and reducts;and (iv) obtaining bounds on their complexity. Applications for supervisedmachine learning, discrete optimization, analysis of acyclic programs, faultdiagnosis, and pattern recognition are considered also. This is a mixture ofresearch monograph and lecture notes. It contains many unpublished results.However, proofs are carefully selected to be understandable for students.The results considered in this book can be useful for researchers in machinelearning, data mining and knowledge discovery, especially for those who areworking in rough set theory, test theory and logical analysis of data. The bookcan be used in the creation of courses for graduate students. N� de r�f. du vendeur 9783642269011

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Combinatorial Machine Learning

Mikhail Moshkov|Beata Zielosko

Edit� par Springer Berlin Heidelberg, 2013

ISBN 10 : 364226901X ISBN 13 : 9783642269011

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A rough set approach to combinatorial machine learning Presents applications for supervised machine learning, discrete optimization, analysis of acyclic programs, fault diagnosis and pattern recognition Written by leading experts in the fiel. N� de r�f. du vendeur 5054945

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