Classification Methods for Internet Applications(Studies in Big Data)

计算机科学技术基础学科

原   价:
1956.25
售   价:
1565.00
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平台大促 低至8折优惠
发货周期:外国库房发货,通常付款后3-5周到货
出  版 社
出版时间
2020年03月26日
装      帧
ISBN
9783030369613
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页      码
281
语      种
英文
版      次
2020
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图书简介
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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