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020 _a9783030369620
024 7 _a10.1007/978-3-030-36962-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
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041 0 _aeng
050 4 _aQA76.9.I58
_b2020 EB
100 1 _aHoleňa, Martin
_eautor.
_9672565
245 0 0 _aClassification Methods for Internet Applications
_cby Martin Holeňa, Petr Pulc, Martin Kopp
250 _aFirst edition
264 1 _aCham
_bSpringer International Publishing :
_bImprint Springer
_c2020.
300 _a1 recurso en línea (XII, 281 páginas)
_b61 ilustraciones, 29 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aStudies in Big Data
_x2197-6503
_v69
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aImportant Internet Applications of Classification -- Basic Concepts Concerning Classification -- Some Frequently Used Classification Methods -- Aiming at Predictive Accuracy -- Aiming at Comprehensibility -- A Team Is Superior to an Individual.
520 3 _aThis 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.
988 _aPrimersemestre_2020_Robotics
650 7 _2embne
_aSistemas interactivos (Informática)
_9139854
700 1 _aPulc, Petr
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aKopp, Martin
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783030369613
776 0 8 _iPrinted edition:
_z9783030369637
776 0 8 _iPrinted edition:
_z9783030369644
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-36962-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
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998 _b03/2020
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