Tervetuloa kirjastoon!

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*08204$a006.312$223
*1001 $aTan, Pang-Ning$4aut
*24510$aIntroduction to data mining /$cPang-Ning Tan, Michael Steinbach, Anuj Karpatne, Vipin Kumar.
*250  $aSecond edition
*260  $aHarlow$bPearson Education Limited,$c2020
*264 1$aHarlow :$bPearson,$c[2020]
*264 4$c©2020
*300  $a859 pages$billustrations$c24 cm
*336  $atext$btxt$2rdacontent
*337  $aunmediated$bn$2rdamedia
*338  $avolume$bnc$2rdacarrier
*7001 $aSteinbach, Michael$4aut
*7001 $aKarpatne, Anuj$4aut
*7001 $aKumar, Vipin,$d1956-$4aut
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*950  $6650$wg$aElektroniska informationsresurser$uDatabaser
*950  $6650$wh$aBlockkedjor$uDatabaser
*950  $6650$wh$aBilddatabaser$uDatabaser
*950  $6650$wh$aFulltextdatabaser$uDatabaser
*950  $6650$wh$aArkivdatabaser$uDatabaser
*950  $6650$wh$aDNA-register$uDatabaser
*950  $6650$aDatalager$uDatabaser
*950  $6650,650$w||e$aDatautvinning$uData mining
*950  $6650,650$aDataanalys$uData mining
*950  $6650,650$aDatabrytning$uData mining
*950  $6650,650$aInformationsutvinning$uData mining
*950  $6650,650$wg$aDatabassökningar$uData mining
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Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.