Record ID | harvard_bibliographic_metadata/ab.bib.12.20150123.full.mrc:367798802:1932 |
Source | harvard_bibliographic_metadata |
Download Link | /show-records/harvard_bibliographic_metadata/ab.bib.12.20150123.full.mrc:367798802:1932?format=raw |
LEADER: 01932cam a22004094a 4500
001 012524287-5
005 20100708121751.0
008 090313s2009 ne a b 001 0 eng
010 $a 2009008997
015 $aGBA922325$2bnb
015 $a014-92045$2bnb
015 $aGBA-92232$2bnb
016 7 $a014920454$2Uk
020 $a9780123747655 (hbk. : alk. paper)
020 $a0123747651 (hbk. : alk. paper)
020 $a9780123750860 (DVD-ROM)
020 $a0123750865 (DVD-ROM)
035 0 $aocn316327105
040 $aDLC$cDLC$dC#P$dUKM$dBTCTA$dYDXCP$dBWX$dCDX$dNLGGC$dMUQ$dCGU$dZWZ$dGBVCP$dYBM
050 00 $aQA76.9.D343$bN57 2009
082 00 $a006.3/12$222
084 $a31.73$2bcl
100 1 $aNisbet, Robert.
245 10 $aHandbook of statistical analysis and data mining applications /$cRobert Nisbet, John Elder, Gary Miner.
246 14 $aHandbook of statistical analysis & data mining applications
260 $aAmsterdam ;$aBoston :$bAcademic Press/Elsevier,$cc2009.
300 $axxxiv, 824 p. :$bill. (chiefly col.) ;$c25 cm. +$e1 DVD-ROM (4 3/4 in.)
504 $aIncludes bibliographical references and index.
505 0 $aHistory of phases of data analysis, basic theory, and the data mining process -- The algorithms in data mining and text mining, the organization of the three most common data mining tools, and selected specialized areas using data mining -- Tutorials--step-by-step case studies as a starting point to learn how to do data mining analyses -- Measuring true complexity, the "right model for the right use," top mistakes, and the future of analytics.
650 0 $aData mining$xStatistical methods.
650 6 $aExploration de données (Informatique)$xMéthodes statistiques.
650 7 $aExploration de données$xMéthodes statistiques.$2ram
700 1 $aElder, John F.$q(John Fletcher)
700 1 $aMiner, Gary.
988 $a20100708
049 $aCLSL
906 $0DLC