01404nam a2200265 i 4500991001326139707536051115s1998 000 0 ita 882072779xb13355399-39ule_instDip.to di Studi Storiciita070.50945731 Editoria e cultura a Napoli nel 18. secolo :atti del Convegno organizzato dall'Istituto Universitario Orientale, dalla Societa italiana di Studi sul secolo 18. e dall'Istituto Italiano per gli studi Filosofici, Napoli, 5-7 dicembre 1996 /a cura di Anna Maria RaoNapoli :Liguori,1998XI, 951 p. ;22 cmQuaderni del dipartimento di filosofia e politica, Istituto universitario orientale ;17In testa al front.: Istituto universitario orientale, Dipartimento di filosofia e politicaEditoriaNapoliSec. 18.CongressiRao, anna Maria.b1335539909-10-1315-11-05991001326139707536LE002 070.50945 EDI 212002000516688le002pE43.00-l- 02020.i1429776011-10-06LE023 070.5094 EDI 1 1 12023000077245le023-E43.00-no 00000.i1415742124-11-05Editoria e cultura a Napoli nel 18. secolo1093070UNISALENTOle002(2)le023 - - ma -itait 0303690nam 22006495 450 991074114100332120200630162720.03-030-36962-510.1007/978-3-030-36962-0(CKB)4100000010122009(MiAaPQ)EBC6032967(DE-He213)978-3-030-36962-0(PPN)243767692(EXLCZ)99410000001012200920200129d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierClassification Methods for Internet Applications /by Martin Holeňa, Petr Pulc, Martin Kopp1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (290 pages)Studies in Big Data,2197-6503 ;693-030-36961-7 Includes bibliographical references.Important 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.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.Studies in Big Data,2197-6503 ;69Computational intelligenceData miningMathematical statisticsPattern perceptionComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Probability and Statistics in Computer Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/I17036Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XComputational intelligence.Data mining.Mathematical statistics.Pattern perception.Computational Intelligence.Data Mining and Knowledge Discovery.Probability and Statistics in Computer Science.Pattern Recognition.025.42Holeňa Martinauthttp://id.loc.gov/vocabulary/relators/aut1199351Pulc Petrauthttp://id.loc.gov/vocabulary/relators/autKopp Martinauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910741141003321Classification Methods for Internet Applications3553611UNINA