| Record ID | marc_columbia/Columbia-extract-20221130-009.mrc:251949307:4943 |
| Source | marc_columbia |
| Download Link | /show-records/marc_columbia/Columbia-extract-20221130-009.mrc:251949307:4943?format=raw |
LEADER: 04943cam a2200625Ia 4500
001 4240930
005 20220326225432.0
006 m o d
007 cr cn|||||||||
008 030205s2002 nyuab ob 001 0 eng d
035 $a(OCoLC)ocm51575755
035 $a(NNC)4240930
040 $aN$T$beng$epn$cN$T$dYDXCP$dOCLCG$dOCLCQ$dEXW$dIDEBK$dOCLCQ$dTUU$dOCLCQ$dTNF$dMERUC$dOCLCQ$dNTE$dZCU$dE7B$dOCLCF$dOCLCQ$dCOO$dB24X7$dOCLCO$dOCLCQ$dEBLCP$dNRU$dOCLCQ$dSUR$dPIFBR$dLIV$dOCLCQ$dWY@$dROC$dMNS$dLUE$dUUM$dOCLCQ$dTOF$dOCLCQ$dZGM$dOCLCQ$dBRF$dUKEHC$dOCLCO
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020 $a0471271381$q(electronic bk.)
020 $a9780471271383$q(electronic bk.)
020 $a1280314346
020 $a9781280314346
020 $z0471149993$q(acid-free paper)
020 $z9780471149996$q(acid-free paper)
035 $a(OCoLC)51575755$z(OCoLC)55234419$z(OCoLC)475869851$z(OCoLC)551389551$z(OCoLC)647772389$z(OCoLC)806203080$z(OCoLC)814333132$z(OCoLC)961618317$z(OCoLC)962728211$z(OCoLC)984860855$z(OCoLC)992115538$z(OCoLC)1020519243$z(OCoLC)1129142153$z(OCoLC)1200086404
050 4 $aQA76.9.D343$bS68 2002eb
072 7 $aCOM$x005030$2bisacsh
072 7 $aCOM$x004000$2bisacsh
072 7 $aKMP$2bicssc
082 04 $a006.3$221
049 $aZCUA
100 1 $aSoukup, Tom,$d1962-
245 10 $aVisual data mining :$btechniques and tools for data visualization and mining /$cTom Soukup, Ian Davidson.
260 $aNew York :$bWiley,$c©2002.
300 $a1 online resource (xxxi, 382 pages) :$billustrations, maps
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
500 $a"Wiley Computer Publishing."
504 $aIncludes bibliographical references (pages 363-364) and index.
505 00 $tIntroduction and Project Planning Phase --$tIntroduction to Data Visualization and Visual Data Mining --$tVisualization Data Sets --$tVisualization Data Types --$tVisual versus Data Dimensions --$tData Visualization Tools --$tMultidimensional Data Visualization Tools --$tColumn and Bar Graphs --$tDistribution and Histogram Graphs --$tBox Graphs --$tLine Graphs --$tScatter Graphs --$tPie Graphs --$tHierarchical and Landscape Data Visualization Tools --$tTree Visualizations --$tMap Visualizations --$tVisual Data Mining Tools --$tStep 1: Justifying and Planning the Data Visualization and Data Mining Project --$tClasses of Projects --$tProject Justifications --$tDayton Hudson Corp. Success Story --$tMarketing Dynamics Success Story --$tSprint Success Story --$tLowestfare.com Success Story --$tChallenges to Visual Data Mining --$tData Visualization, Analysis, and Statistics are Meaningless --$tWhy Are the Predictions Not 100 Percent Accurate? --$tOur Data Can't Be Visualized or Mined --$tClosed-Loop Business Model --$tUsing the Closed-Loop Business Model --$tProject Timeline --$tProject Resources and Roles --$tData and Business Analyst Team --$tDomain Expert Team --$tDecision Maker Team --$tOperations Team --$tData Warehousing Team --$tProject Justification and Plan for the Case Study --$tStep 2: Identifying the Top Business Questions --$tChoosing the Top Business Questions --$tProblems Data Mining Does Not Address --$tData Visualization Problem Definitions --$tMultidimensional or Comparative Visualization Problem Definitions.
520 $aBy harnessing the power of visual data mining tools and techniques, business analysts can quickly and easily retrieve information to solve common business problems from an entirely new perspective. Traditional data mining techniques generate huge amounts of numeric data that can be difficult to interpret and use. Visual data mining makes it easier for nontechnical business managers to understand their markets and make savvy business decisions, in addition to opening the world of visual tools to a much broader audience.
588 0 $aPrint version record.
650 0 $aData mining.
650 0 $aDatabase searching.
650 2 $aData Mining
650 6 $aExploration de données (Informatique)
650 6 $aBases de données$xInterrogation.
650 7 $aonline searching.$2aat
650 7 $aCOMPUTERS$xEnterprise Applications$xBusiness Intelligence Tools.$2bisacsh
650 7 $aCOMPUTERS$xIntelligence (AI) & Semantics.$2bisacsh
650 7 $aData mining.$2fast$0(OCoLC)fst00887946
650 7 $aDatabase searching.$2fast$0(OCoLC)fst00888058
655 0 $aElectronic books.
655 4 $aElectronic books.
700 1 $aDavidson, Ian,$d1971-
776 08 $iPrint version:$aSoukup, Tom, 1962-$tVisual data mining.$dNew York : Wiley, ©2002$z0471149993$w(DLC) 2002004004$w(OCoLC)49320392
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio4240930$zAll EBSCO eBooks
852 8 $blweb$hEBOOKS