Decision Trees with Hypotheses (Synthesis Lectures on Intelligent Technologies) - Tapa dura

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

9783031085840: Decision Trees with Hypotheses (Synthesis Lectures on Intelligent Technologies)

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ISBN 10: 3031085841 ISBN 13: 9783031085840

Editorial: Springer-Verlag GmbH, 2022

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EditorialSpringer-Verlag GmbH
A�o de publicaci�n2022
ISBN 10 3031085841
ISBN 13 9783031085840
Encuadernaci�nTapa dura
IdiomaIngl�s
N�mero de edici�n1
N�mero de p�ginas156

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Decision Trees with Hypotheses

Mohammad Azad

Publicado por Springer International Publishing Nov 2022, 2022

ISBN 10: 3031085841 ISBN 13: 9783031085840

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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania

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Buch. Condici�n: 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 ref. del art�culo: 9783031085840

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Decision Trees with Hypotheses

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

Publicado por Springer, Berlin|Springer International Publishing|Springer, 2022

ISBN 10: 3031085841 ISBN 13: 9783031085840

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Librería: moluna, Greven, Alemania

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Gebunden. Condici�n: 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 ref. del art�culo: 600119943

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Decision Trees with Hypotheses

Mohammad Azad

Publicado por Springer International Publishing, 2022

ISBN 10: 3031085841 ISBN 13: 9783031085840

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Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Buch. Condici�n: 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 ref. del art�culo: 9783031085840

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Decision Trees with Hypotheses (Hardcover)

Mohammad Azad

Publicado por Springer International Publishing AG, Cham, 2022

ISBN 10: 3031085841 ISBN 13: 9783031085840

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Librería: Grand Eagle Retail, Fairfield, OH, Estados Unidos de America

Calificaci�n del vendedor: 5 de 5 estrellas

Hardcover. Condici�n: 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 ref. del art�culo: 9783031085840

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