Data Preparation for Data Mining Using SAS (The Morgan Kaufmann Series in Data Management Systems)

在线阅读本书Areyouadatamininganalyst,whospendsupto80%ofyourtimeassuringdataquality,thenpreparingthatdatafordevelopinganddeployingpredictivemodels?Anddoyoufindlotsofliteratureondataminingtheoryandconcepts,butwhenitcomestopracticaladviceondevelopinggoodminingviewsfindlittle"howto"information?Andareyou,likemostanalysts,preparingthedatainSAS?Thisbookisintendedtofillthisgapasyoursourceofpracticalrecipes.Itintroducesaframeworkfortheprocessofdatapreparationfordatamining,andpresentsthedetailedimplementationofeachstepinSAS.Inaddition,businessapplicationsofdataminingmodelingrequireyoutodealwithalargenumberofvariables,typicallyhundredsifnotthousands.Therefore,thebookdevotesseveralchapterstothemethodsofdatatransformationandvariableselection.FEATURES*Acompleteframeworkforthedatapreparationprocess,includingimplementationdetailsforeachstep.*ThecompleteSASimplementationcode,whichisreadilyusablebyprofessionalanalystsanddataminers.*Auniqueandcomprehensiveapproachforthetreatmentofmissingvalues,optimalbinning,andcardinalityreduction.*AssumesminimalproficiencyinSASandincludesaquick-startchapteronwritingSASmacros.*CDincludesdozensofSASmacrosplusthesampledataandtheprogramforthebook'scasestudy.