Počet záznamů: 1
Classification Methods for Internet Applications
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SYSNO ASEP 0522793 Druh ASEP B - Monografie Zařazení RIV B - Odborná monografie, kniha Název Classification Methods for Internet Applications Tvůrce(i) Holeňa, Martin (UIVT-O) SAI, RID
Pulc, P. (CZ)
Kopp, M. (CZ)Vyd. údaje Springer: Cham, 2020 ISBN 978-3-030-36961-3 Edice Studies in Big Data Č. sv. edice 69 Poč.str. 281 s. Forma vydání Tištěná - P Jazyk dok. eng - angličtina Země vyd. CH - Švýcarsko Klíč. slova Spam filtering ; Recommender systems ; Malware detection ; Network intrusion detection ; Random forests ; Classifier comprehensibility ; Support vector machines ; Nearest neighbours classification ; Bayesian classifiers Vědní obor RIV IN - Informatika Obor OECD Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) Institucionální podpora UIVT-O - RVO:67985807 DOI 10.1007/978-3-030-36962-0 Anotace 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. Pracoviště Ústav informatiky Kontakt Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Rok sběru 2021
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