Decision Trees With Hypotheses - Couverture rigide

Azad, Mohammad; Chikalov, Igor; Hussain, Shahid; Moshkov, Mikhail; Zielosko, Beata

9783031085840: Decision Trees With Hypotheses

Couverture rigide

ISBN 10 : 3031085841 ISBN 13 : 9783031085840

Editeur : Springer International Publishing AG, 2022

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�diteurSpringer International Publishing AG
Date d'�dition2022
ISBN 10 3031085841
ISBN 13 9783031085840
ReliureReli�
Langueanglais
Nombre de pages145

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9783031085871: Decision Trees with Hypotheses

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ISBN 10 : 3031085876 ISBN 13 : 9783031085871
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Decision Trees with Hypotheses

Mohammad Azad

Edit� par Springer International Publishing Nov 2022, 2022

ISBN 10 : 3031085841 ISBN 13 : 9783031085840

Neuf Couverture rigide

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, the concept of a hypothesis about the values of all attributes is added to the standard decision tree model, considered, in particular, in test theory and rough set theory. This extension allows us to use the analog of equivalence queries from exact learning and explore decision trees that are based on various combinations of attributes, hypotheses, and proper hypotheses (analog of proper equivalence queries). The two main goals of this book are (i) to provide tools for the experimental and theoretical study of decision trees with hypotheses and (ii) to compare these decision trees with conventional decision trees that use only queries, each based on a single attribute.Both experimental and theoretical results show that decision trees with hypotheses can have less complexity than conventional decision trees. These results open up some prospects for using decision trees with hypotheses as a means of knowledge representation and algorithms for computing Boolean functions. The obtained theoretical results and tools for studying decision trees with hypotheses are useful for researchers using decision trees and rules in data analysis. This book can also be used as the basis for graduate courses. 156 pp. Englisch. N� de r�f. du vendeur 9783031085840

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Decision Trees with Hypotheses

Azad, Mohammad|Chikalov, Igor|Hussain, Shahid|Moshkov, Mikhail|Zielosko, Beata

Edit� par Springer, Berlin|Springer International Publishing|Springer, 2022

ISBN 10 : 3031085841 ISBN 13 : 9783031085840

Neuf Couverture rigide

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Vendeur : moluna, Greven, Allemagne

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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In this book, the concept of a hypothesis about the values of all attributes is added to the standard decision tree model, considered, in particular, in test theory and rough set theory. This extension allows us to use the analog of equivalence queries f. N� de r�f. du vendeur 600119943

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Decision Trees with Hypotheses

Mohammad Azad

Edit� par Springer International Publishing, 2022

ISBN 10 : 3031085841 ISBN 13 : 9783031085840

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - In this book, the concept of a hypothesis about the values of all attributes is added to the standard decision tree model, considered, in particular, in test theory and rough set theory. This extension allows us to use the analog of equivalence queries from exact learning and explore decision trees that are based on various combinations of attributes, hypotheses, and proper hypotheses (analog of proper equivalence queries). The two main goals of this book are (i) to provide tools for the experimental and theoretical study of decision trees with hypotheses and (ii) to compare these decision trees with conventional decision trees that use only queries, each based on a single attribute.Both experimental and theoretical results show that decision trees with hypotheses can have less complexity than conventional decision trees. These results open up some prospects for using decision trees with hypotheses as a means of knowledge representation and algorithms for computing Boolean functions. The obtained theoretical results and tools for studying decision trees with hypotheses are useful for researchers using decision trees and rules in data analysis. This book can also be used as the basis for graduate courses. N� de r�f. du vendeur 9783031085840

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Decision Trees with Hypotheses (Hardcover)

Mohammad Azad

Edit� par Springer International Publishing AG, Cham, 2022

ISBN 10 : 3031085841 ISBN 13 : 9783031085840

Neuf Couverture rigide Edition originale

Vendeur : Grand Eagle Retail, Fairfield, OH, Etats-Unis

�valuation du vendeur 5 sur 5 �toiles

Hardcover. Etat : new. Hardcover. In this book, the concept of a hypothesis about the values of all attributes is added to the standard decision tree model, considered, in particular, in test theory and rough set theory. This extension allows us to use the analog of equivalence queries from exact learning and explore decision trees that are based on various combinations of attributes, hypotheses, and proper hypotheses (analog of proper equivalence queries). The two main goals of this book are (i) to provide tools for the experimental and theoretical study of decision trees with hypotheses and (ii) to compare these decision trees with conventional decision trees that use only queries, each based on a single attribute. Both experimental and theoretical results show that decision trees with hypotheses can have less complexity than conventional decision trees. These results open up some prospects for using decision trees with hypotheses as a means of knowledge representation and algorithms for computing Boolean functions. The obtained theoretical results and tools for studying decision trees with hypotheses are useful for researchers using decision trees and rules in data analysis. This book can also be used as the basis for graduate courses. The two main goals of this book are (i) to provide tools for the experimental and theoretical study of decision trees with hypotheses and (ii) to compare these decision trees with conventional decision trees that use only queries, each based on a single attribute. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9783031085840

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