LEADER 02266nam0 2200505 i 450 001 VAN0127102 005 20230627092950.984 017 70$2N$a9783030104429 100 $a20200224d2019 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aPersonality Traits and Drug Consumption$eA Story Told by Data$fElaine Fehrman ?$bet al.] 210 $aCham$cSpringer$d2019 215 $avi, 168 p.$cill.$d24 cm 500 1$3VAN0236955$aPersonality Traits and Drug Consumption$91733483 606 $a62H25$xFactor analysis and principal components; correspondence analysis [MSC 2020]$3VANC025575$2MF 606 $a62R07$xStatistical aspects of big data and data science [MSC 2020]$3VANC026514$2MF 606 $a62H30$xClassification and discrimination; cluster analysis (statistical aspects) [MSC 2020]$3VANC028931$2MF 606 $a62P15$xApplications of statistics to psychology [MSC 2020]$3VANC031075$2MF 606 $a68T09$xComputational aspects of data analysis and big data [MSC 2020]$3VANC035916$2MF 610 $aCategorical PCA$9KW:K 610 $aClassification$9KW:K 610 $aCross-validation$9KW:K 610 $aDecision tree$9KW:K 610 $aDrug consumption$9KW:K 610 $aLinear discriminant analysis$9KW:K 610 $aMachine learning$9KW:K 610 $aPersonality models$9KW:K 610 $aPolychoric correlation$9KW:K 610 $aPrincipal component analysis$9KW:K 610 $aPsychological profile$9KW:K 610 $aSparse PCA$9KW:K 610 $aVisualization$9KW:K 620 $aCH$dCham$3VANL001889 702 1$aFehrman$bElaine$3VANV098530 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-10442-9$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN0127102 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 1707 $e08eMF1707 20200224 996 $aPersonality Traits and Drug Consumption$91733483 997 $aUNICAMPANIA