| Record ID | marc_columbia/Columbia-extract-20221130-022.mrc:10010788:1227 |
| Source | marc_columbia |
| Download Link | /show-records/marc_columbia/Columbia-extract-20221130-022.mrc:10010788:1227?format=raw |
LEADER: 01227cam a2200361Ia 4500
001 10516939
005 20131118214025.0
008 130524s2013 caua b 001 0 eng
016 7 $a016444020$2Uk
019 $a844728943
020 $a1449361323 (pbk.)
020 $a9781449361327 (pbk.)
035 $a(OCoLC)ocn844460899
035 $a(OCoLC)844460899$z(OCoLC)844728943
035 $a(NNC)10516939
040 $aYDXCP$cYDXCP$dBDX$dUKMGB$dBTCTA$dDPL$dEGM
090 $aQA76.9.D343$bP76 2013
092 0 $a006.312$223
100 1 $aProvost, Foster,$d1964-
245 10 $aData science for business :$b[what you need to know about data mining and data-analytic thinking] /$cFoster Provost and Tom Fawcett.
250 $a1st ed.
260 $aSebastopol, Calif. :$bO'Reilly,$c2013.
300 $axviii, 384 p. :$bill. ;$c24 cm.
500 $aSubtitle from cover.
504 $aIncludes bibliographical references (p. 359-366) and index.
650 0 $aData mining.
650 0 $aBig data.
650 0 $aInformation science.
650 0 $aBusiness$xData processing.
700 1 $aFawcett, Tom.
852 00 $bbus$hQA76.9.D343$iP76 2013g
852 00 $bbus$hQA76.9.D343$iP76 2013g
852 00 $boff,bus$hQA76.9.D343$iP76 2013g