Produktbild: Classification Methods for Internet Applications

Classification Methods for Internet Applications

Lieferzeit: Lieferbar innerhalb 14 Tagen

96,29 €

inkl. 7 % MwSt. zzgl. Versandkosten

Studies in Big Data 69

ISBN: 3030369641
ISBN 13: 9783030369644
Autor: Holena, Martin/Pulc, Petr/Kopp, Martin
Verlag: Springer Verlag GmbH
Umfang: xii, 281 S., 32 s/w Illustr., 29 farbige Illustr., 281 p. 61 illus., 29 illus. in color.
Erscheinungsdatum: 30.01.2021
Auflage: 1/2021
Produktform: Kartoniert
Einband: Kartoniert

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.

Artikelnummer: 553493 Kategorie:

Beschreibung

Autorenporträt

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

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

Das könnte Ihnen auch gefallen …