Synopsis
Decision trees and decision rule systems are widely used in different applications
as algorithms for problem solving, as predictors, and as a way for
knowledge representation. Reducts play key role in the problem of attribute
(feature) selection. The aims of this book are (i) the consideration of the sets
of decision trees, rules and reducts; (ii) study of relationships among these
objects; (iii) design of algorithms for construction of trees, rules and reducts;
and (iv) obtaining bounds on their complexity. Applications for supervised
machine learning, discrete optimization, analysis of acyclic programs, fault
diagnosis, and pattern recognition are considered also. This is a mixture of
research 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 It contains many unpublished results.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 machine
learning, data mining and knowledge discovery, especially for those who are
working in rough set theory, test theory and logical analysis of data. The book
can be used in the creation of courses for graduate students.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
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 référence à une autre édition de ce titre.
Autres éditions populaires du même titre
Résultats de recherche pour Combinatorial Machine Learning: A Rough Set Approach
Image d'archives
Combinatorial Machine Learning: A Rough Set Approach (Studies in Computational Intelligence, 360)
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur ABLIING23Mar3113020222761
Acheter neuf
EUR 102,87
Frais de port :
EUR 3,43
Vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Combinatorial Machine Learning: A Rough Set Approach (Studies in Computational Intelligence, 360)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9783642269011_new
Acheter neuf
EUR 109,93
Frais de port :
EUR 13,58
De Royaume-Uni vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Combinatorial Machine Learning
Edité par
Springer Berlin Heidelberg Aug 2013, 2013
ISBN 10 : 364226901X
ISBN 13 : 9783642269011
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
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 réf. du vendeur 9783642269011
Acheter neuf
EUR 106,99
Frais de port :
EUR 23
De Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Combinatorial Machine Learning
Edité par
Springer Berlin Heidelberg, 2013
ISBN 10 : 364226901X
ISBN 13 : 9783642269011
Neuf
Kartoniert / Broschiert
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 4 sur 5 étoiles
Kartoniert / Broschiert. 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 réf. du vendeur 5054945
Acheter neuf
EUR 92,27
Frais de port :
EUR 48,99
De Allemagne vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Combinatorial Machine Learning
Vendeur : Books Puddle, New York, NY, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. pp. 196. N° de réf. du vendeur 2697860443
Acheter neuf
EUR 138,28
Frais de port :
EUR 3,43
Vers Etats-Unis
Quantité disponible : 4 disponible(s)
Image d'archives
Combinatorial Machine Learning
impression à la demandeVendeur : Majestic Books, Hounslow, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. Print on Demand pp. 196 89 Illus. N° de réf. du vendeur 94536836
Acheter neuf
EUR 148,25
Frais de port :
EUR 7,37
De Royaume-Uni vers Etats-Unis
Quantité disponible : 4 disponible(s)
Image d'archives
Combinatorial Machine Learning
impression à la demandeVendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. PRINT ON DEMAND pp. 196. N° de réf. du vendeur 1897860433
Acheter neuf
EUR 149,49
Frais de port :
EUR 9,95
De Allemagne vers Etats-Unis
Quantité disponible : 4 disponible(s)
Image d'archives
Combinatorial Machine Learning: A Rough Set Approach (Studies in Computational Intelligence)
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : Brand New. 2011 edition. 196 pages. 9.25x6.10x0.45 inches. In Stock. N° de réf. du vendeur x-364226901X
Acheter neuf
EUR 150,43
Frais de port :
EUR 11,34
De Royaume-Uni vers Etats-Unis
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Combinatorial Machine Learning | A Rough Set Approach
Vendeur : preigu, Osnabrück, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Combinatorial Machine Learning | A Rough Set Approach | Beata Zielosko (u. a.) | Taschenbuch | xiv | Englisch | 2013 | Springer-Verlag GmbH | EAN 9783642269011 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 105706070
Acheter neuf
EUR 95,80
Frais de port :
EUR 70
De Allemagne vers Etats-Unis
Quantité disponible : 5 disponible(s)
Image fournie par le vendeur
Combinatorial Machine Learning
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2013, 2013
ISBN 10 : 364226901X
ISBN 13 : 9783642269011
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 196 pp. Englisch. N° de réf. du vendeur 9783642269011
Acheter neuf
EUR 106,99
Frais de port :
EUR 60
De Allemagne vers Etats-Unis
Quantité disponible : 1 disponible(s)