Classification Methods for Internet Applications: 69 (Studies in Big Data, 69) - Tapa dura

Libro 64 de 95: Studies in Big Data

Holeňa, Martin; Kopp, Martin; Pulc, Petr

 
9783030369613: Classification Methods for Internet Applications: 69 (Studies in Big Data, 69)
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ISBN 10: 3030369617 ISBN 13: 9783030369613
Editorial: Springer, 2020

Sinopsis

This book explores internet applications in which a crucial role is played by classification, such as spam filtering, recommender systems, malware detection, intrusion detection and sentiment analysis. It explains how such classification problems can be solved using various statistical and machine learning methods, including K nearest neighbours, Bayesian classifiers, the logit method, discriminant analysis, several kinds of artificial neural networks, support vector machines, classification trees and other kinds of rule-based methods, as well as random forests and other kinds of classifier ensembles. The book covers a wide range of available classification methods and their variants, not only those that have already been used in the considered kinds of applications, but also those that have the potential to be used in them in the future. The book is a valuable resource for post-graduate students and professionals alike.

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Acerca del autor

Martin Holeňa is senior researcher at the Institute of Computer Science, Czech Academy of Sciences, Prague, Czech Republic.

De la contraportada

This book explores internet applications in which a crucial role is played by classification, such as spam filtering, recommender systems, malware detection, intrusion detection and sentiment analysis. It explains how such classification problems can be solved using various statistical and machine learning methods, including K nearest neighbours, Bayesian classifiers, the logit method, discriminant analysis, several kinds of artificial neural networks, support vector machines, classification trees and other kinds of rule-based methods, as well as random forests and other kinds of classifier ensembles. The book covers a wide range of available classification methods and their variants, not only those that have already been used in the considered kinds of applications, but also those that have the potential to be used in them in the future. The book is a valuable resource for post-graduate students and professionals alike.

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Editorial
Springer
Año de publicación
2020
Idioma
Inglés
ISBN 10 
3030369617
ISBN 13 
9783030369613
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
296
Contacto del fabricante
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Darmstadt
64293
Alemania

Otras ediciones populares con el mismo título

9783030369644: Classification Methods for Internet Applications: 69 (Studies in Big Data)

Edición Destacada

ISBN 10:  3030369641 ISBN 13:  9783030369644
Editorial: Springer, 2021
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