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Classification Methods for Internet Applications
Engelsk Paperback
Classification Methods for Internet Applications
Engelsk Paperback

811 kr
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Om denne bog

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.

Product detaljer
Sprog:
Engelsk
Sider:
281
ISBN-13:
9783030369644
Indbinding:
Paperback
Udgave:
ISBN-10:
3030369641
Udg. Dato:
30 jan 2021
Længde:
0mm
Bredde:
155mm
Højde:
235mm
Forlag:
Springer Nature Switzerland AG
Oplagsdato:
30 jan 2021
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