Data Mining With Rattle and R

Data Mining With Rattle and R

ID:32847246

大小:10.83 MB

页数:395页

时间:2019-02-16

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1、UseR!SeriesEditors:RobertGentlemanKurtHornikGiovanniG.ParmigianiForfurthervolumes:http://www.springer.com/series/6991GrahamWilliamsDataMiningwithRattleandRTheArtofExcavatingDataforKnowledgeDiscoveryGrahamWilliamsTogawarePtyLtdPOBox655JamisonCentreACT,2614

2、AustraliaGraha.Williams@togaware.commSeriesEditors:RobertGentlemanKurtHornikPrograminComputationalBiologyDepartmentofStatistikandMathematikDivisionofPublicHealthSciencesWirtschaftsuniversitätWienFredHutchinsonCancerResearchCenterAugasse2-61100FairviewAven

3、ue,N.M2-B876A-1090WienSeattle,Washington98109AustriaUSAGiovanniG.ParmigianiTheSidneyKimmelComprehensiveCancerCenteratJohnsHopkinsUniversity550NorthBroadwayBaltimore,MD21205-2011USAISBN978-1-4419-9889-7e-ISBN978-1-4419-9890-3DOI10.1007/978-1-4419-9890-3Spr

4、ingerNewYorkDordrechtHeidelbergLondonLibraryofCongressControlNumber:2011934490©SpringerScience+BusinessMedia,LLC2011Allrightsreserved.Thisworkmaynotbetranslatedorcopiedinwholeorinpartwithoutthewrittenpermissionofthepublisher(SpringerScience+BusinessMedia,

5、LLC,233SpringStreet,NewYork,NY10013,USA),exceptforbriefexcerptsinconnectionwithreviewsorscholarlyanalysis.Useinconnectionwithanyformofinformationstorageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodologynowknownorhereafte

6、rdevelopedisforbidden.Theuseinthispublicationoftradenames,trademarks,servicemarks,andsimilarterms,eveniftheyarenotidentifiedassuch,isnottobetakenasanexpressionofopinionastowhetherornottheyaresubjecttoproprietaryrights.Printedonacid-freepaperSpringerispart

7、ofSpringerScience+BusinessMedia(www.springer.com)ToCatharinaPrefaceKnowledgeleadstowisdomandbetterunderstanding.Dataminingbuildsknowledgefrominformation,addingvaluetotheever-increasingstoresofelectronicdatathataboundtoday.Emergingfromthedatabasecommunityi

8、nthelate1980s'datamininggrewquicklytoencompassresearchersandtechnologiesfrommachinelearning,high-performancecomputing,visualisation,andstatistics,recognisingthegrowingoppor-tunitytoaddvaluetodata.Today,thismultidisc

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