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

Libro 70 de 108: Studies in Big Data

Holeňa, Martin; Pulc, Petr; Kopp, Martin

 
9783030369644: Classification Methods for Internet Applications: 69 (Studies in Big Data)
Tapa blanda
ISBN 10: 3030369641 ISBN 13: 9783030369644
Editorial: Springer, 2021

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
2021
Idioma
Inglés
ISBN 10 
3030369641
ISBN 13 
9783030369644
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
296
Contacto del fabricante
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Alemania

Otras ediciones populares con el mismo título

9783030369613: Classification Methods for Internet Applications: 69 (Studies in Big Data, 69)

Edición Destacada

ISBN 10:  3030369617 ISBN 13:  9783030369613
Editorial: Springer, 2020
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