LEADER 04048nam 22007095 450 001 9910254084703321 005 20251230055033.0 010 $a3-319-25226-7 024 7 $a10.1007/978-3-319-25226-1 035 $a(CKB)3710000000778030 035 $a(DE-He213)978-3-319-25226-1 035 $a(MiAaPQ)EBC4623019 035 $a(PPN)194804577 035 $a(EXLCZ)993710000000778030 100 $a20160803d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnalysis of Large and Complex Data /$fedited by Adalbert F.X. Wilhelm, Hans A. Kestler 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XXVI, 656 p. 171 illus., 32 illus. in color.) 225 1 $aStudies in Classification, Data Analysis, and Knowledge Organization,$x2198-3321 311 08$a3-319-25224-0 320 $aIncludes bibliographical references and index. 327 $aPart I Invited Papers -- Part II Big Data -- Part III Clustering -- Part IV Classification -- Part V Regression and other Statistical Techniques -- Part VI Applications -- Part VII Data Analysis in Marketing -- Part VIII Data Analysis in Finance -- Part IX Data Analysis in Medicine and Life Sciences -- Part X Data Analysis in Musicology -- Part XI Data Analysis in Interdisciplinary Domains -- Part XII Data Analysis in Social, Behavioural and Health Care Sciences -- Part XIII Data Analysis in Library Science -- . 330 $aThis book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and Knowledge Discovery; Data Analysis in Marketing; Data Analysis in Finance and Economics; Data Analysis in Medicine and the Life Sciences; Data Analysis in the Social, Behavioural, and Health Care Sciences; Data Analysis in Interdisciplinary Domains; Classification and Subject Indexing in Library and Information Science. The book presents selected papers from the Second European Conference on Data Analysis, held at Jacobs University Bremen in July 2014. This conference unites diverse researchers in the pursuit of a common topic, creating truly unique synergies in the process.p>. 410 0$aStudies in Classification, Data Analysis, and Knowledge Organization,$x2198-3321 606 $aMathematical statistics$xData processing 606 $aData mining 606 $aBiometry 606 $aStatistics 606 $aComputer science$xMathematics 606 $aMathematical statistics 606 $aStatistics and Computing 606 $aData Mining and Knowledge Discovery 606 $aBiostatistics 606 $aStatistics in Business, Management, Economics, Finance, Insurance 606 $aProbability and Statistics in Computer Science 615 0$aMathematical statistics$xData processing. 615 0$aData mining. 615 0$aBiometry. 615 0$aStatistics. 615 0$aComputer science$xMathematics. 615 0$aMathematical statistics. 615 14$aStatistics and Computing. 615 24$aData Mining and Knowledge Discovery. 615 24$aBiostatistics. 615 24$aStatistics in Business, Management, Economics, Finance, Insurance. 615 24$aProbability and Statistics in Computer Science. 676 $a302.231 702 $aWilhelm$b Adalbert F.X$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKestler$b Hans A$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254084703321 996 $aAnalysis of large and complex data$91523144 997 $aUNINA