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1、DataMiningwithR:learningbycasestudiesLuisTorgoLIACC-FEP,UniversityofPortoR.CampoAlegre,823-4150Porto,Portugalemail:ltorgo@liacc.up.pthttp://www.liacc.up.pt/～ltorgoMay22,2003PrefaceThemaingoalofthisbookistointroducethereadertotheuseofRasatoolforperformingdat
2、amining.Risafreelydownloadable1languageandenvironmentforstatisticalcomputingandgraphics.Itscapabilitiesandthelargesetofavailablepackagesmakethistoolanexcellentalternativetotheexisting(andexpensive!)dataminingtools.Oneofthekeyissuesindataminingissize.Atypica
3、ldataminingprobleminvolvesalargedatabasefromwhereoneseekstoextractusefulknowledge.InthisbookwewilluseMySQLasthecoredatabasemanagementsystem.MySQLisalsofreelyavailable2forseveralcomputerplatforms.Thismeansthatyouwillbeabletoperform“serious”dataminingwithouth
4、avingtopayanymoneyatall.Moreover,wehopetoshowyouthatthiscomeswithnocompromiseinthequalityoftheobtainedsolutions.Expensivetoolsdonotnecessarilymeanbettertools!RtogetherwithMySQLformapairveryhardtobeataslongasyouarewillingtospendsometimelearninghowtousethem.W
5、ethinkthatitisworthwhile,andwehopethatyouareconvincedaswellattheendofreadingthisbook.Thegoalofthisbookisnottodescribeallfacetsofdataminingprocesses.Manybooksexistthatcoverthisarea.InsteadweproposetointroducethereadertothepowerofRanddataminingbymeansofsevera
6、lcasestudies.Obviously,thesecasestudiesdonotrepresentallpossibledataminingproblemsthatonecanfaceintherealworld.Moreover,thesolutionswedescribecannotbetakenascompletesolutions.OurgoalismoretointroducethereadertotheworldofdataminingusingRthroughpraticalexampl
7、es.AssuchouranalysisofthecasesstudieshasthegoalofshowingexamplesofknowledgeextractionusingR,insteadofpresentingcompletereportsofdataminingcasestudies.Theyshouldbetakenasexamplesofpossiblepathsinanydataminingprojectandcanbeusedasthebasisfordeveloppingsolutio
8、nsforthereader’sdataminingprojects.Still,wehavetriedtocoveradiversesetofproblemsposingdi?erentchallengesintermsofsize,typeofdata,goalsofanalysisandtoolsthatarenecessarytocarryoutthisanalysis.Wedonotass
