LEADER 03690nam 22006495 450 001 9910741141003321 005 20200630162720.0 010 $a3-030-36962-5 024 7 $a10.1007/978-3-030-36962-0 035 $a(CKB)4100000010122009 035 $a(MiAaPQ)EBC6032967 035 $a(DE-He213)978-3-030-36962-0 035 $a(PPN)243767692 035 $a(EXLCZ)994100000010122009 100 $a20200129d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aClassification Methods for Internet Applications /$fby Martin Hole?a, Petr Pulc, Martin Kopp 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (290 pages) 225 1 $aStudies in Big Data,$x2197-6503 ;$v69 311 $a3-030-36961-7 320 $aIncludes bibliographical references. 327 $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. 330 $aThis book explores internet applications in which a crucial role is played by classification, such as spam filtering, recommender systems, malware detection, intrusion detection and sentiment analysis. It explains how such classification problems can be solved using various statistical and machine learning methods, including K nearest neighbours, Bayesian classifiers, the logit method, discriminant analysis, several kinds of artificial neural networks, support vector machines, classification trees and other kinds of rule-based methods, as well as random forests and other kinds of classifier ensembles. The book covers a wide range of available classification methods and their variants, not only those that have already been used in the considered kinds of applications, but also those that have the potential to be used in them in the future. The book is a valuable resource for post-graduate students and professionals alike. 410 0$aStudies in Big Data,$x2197-6503 ;$v69 606 $aComputational intelligence 606 $aData mining 606 $aMathematical statistics 606 $aPattern perception 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 615 0$aComputational intelligence. 615 0$aData mining. 615 0$aMathematical statistics. 615 0$aPattern perception. 615 14$aComputational Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aProbability and Statistics in Computer Science. 615 24$aPattern Recognition. 676 $a025.42 700 $aHole?a$b Martin$4aut$4http://id.loc.gov/vocabulary/relators/aut$01199351 702 $aPulc$b Petr$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aKopp$b Martin$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910741141003321 996 $aClassification Methods for Internet Applications$93553611 997 $aUNINA