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Books > Computing & IT > Applications of computing > Databases > Data mining
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Classification Methods for Internet Applications (Hardcover, 1st ed. 2020)
Loot Price: R2,682
Discovery Miles 26 820
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Classification Methods for Internet Applications (Hardcover, 1st ed. 2020)
Series: Studies in Big Data, 69
Expected to ship within 18 - 22 working days
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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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