LEADER 02762nam 2200637 a 450 001 9910830700803321 005 20231206054933.0 010 $a1-118-55769-7 010 $a1-299-13991-4 010 $a1-118-58633-6 010 $a1-118-58613-1 035 $a(CKB)2670000000327416 035 $a(EBL)1117273 035 $a(SSID)ssj0000883828 035 $a(PQKBManifestationID)11454490 035 $a(PQKBTitleCode)TC0000883828 035 $a(PQKBWorkID)10924808 035 $a(PQKB)10950575 035 $a(MiAaPQ)EBC1117273 035 $a(CaSebORM)9781118586136 035 $a(OCoLC)826657834 035 $a(EXLCZ)992670000000327416 100 $a20130211d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSemi-supervised and unsupervised machine learning $enovel strategies /$fAmparo Albalate, Wolfgang Minker 210 $aLondon $cISTE$d[2011] 215 $a1 online resource (320 pages) 225 1 $aISTE 300 $aDescription based upon print version of record. 311 $a1-84821-203-8 320 $aIncludes bibliographical references and index. 327 $apt. 1. State of the art -- pt. 2. Approaches to semi-supervised classification -- pt. 3. Contributions to unsupervised classification, algorithms to detect the optimal number of clusters. 330 $aThis book provides a detailed and up-to-date overview on classification and data mining methods. The first part is focused on supervised classification algorithms and their applications, including recent research on the combination of classifiers. The second part deals with unsupervised data mining and knowledge discovery, with special attention to text mining. Discovering the underlying structure on a data set has been a key research topic associated to unsupervised techniques with multiple applications and challenges, from web-content mining to the inference of cancer subtypes in genomic mic 410 0$aInternational Society for Technology in Education.$tISTE publications 606 $aData mining 606 $aDiscourse analysis$xStatistical methods 606 $aSpeech processing systems 606 $aComputational intelligence 615 0$aData mining. 615 0$aDiscourse analysis$xStatistical methods. 615 0$aSpeech processing systems. 615 0$aComputational intelligence. 676 $a006.312 700 $aAlbalate$b Amparo$01640796 702 $aMinker$b Wolfgang 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830700803321 996 $aSemi-supervised and unsupervised machine learning$93984505 997 $aUNINA