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1、December8,200613:28WSPC/173-IJITDM00225InternationalJournalofInformationTechnology&DecisionMakingVol.5,No.4(2006)597–604cWorldScientificPublishingCompany10CHALLENGINGPROBLEMSINDATAMININGRESEARCHQIANGYANGDepartmentofComputerScienceHongKongUniversityofScienceandTechnologyClearwaterBay,Kowloon,HongKo
2、ng,ChinaXINDONGWUDepartmentofComputerScienceUniversityofVermont33ColchesterAvenue,Burlington,Vermont05405,USAxwu@cs.uvm.eduCONTRIBUTORS:PEDRODOMINGOS,CHARLESELKAN,JOHANNESGEHRKE,JIAWEIHAN,DAVIDHECKERMAN,DANIELKEIM,JIMINGLIU,DAVIDMADIGAN,GREGORYPIATETSKY-SHAPIRO,VIJAYV.RAGHAVAN,RAJEEVRASTOGI,SALVAT
3、OREJ.STOLFO,ALEXANDERTUZHILINandBENJAMINW.WAHInOctober2005,wetookaninitiativetoidentify10challengingproblemsindataminingresearch,byconsultingsomeofthemostactiveresearchersindataminingandmachinelearningfortheiropinionsonwhatareconsideredimportantandworthytopicsforfutureresearchindatamining.Wehopeth
4、eirinsightswillinspirenewresearchefforts,andgiveyoungresearchers(includingPhDstudents)ahigh-levelguidelineastowherethehotproblemsarelocatedindatamining.Duetothelimitedamountoftime,wewereonlyabletosendoutoursurveyrequeststotheorganizersoftheIEEEICDMandACMKDDconferences,andwereceivedanoverwhelmingres
5、ponse.Weareverygratefulforthecontributionsprovidedbytheseresearchersdespitetheirbusyschedules.Thisshortarticleservestosummarizethe10mostchallengingproblemsofthe14responseswehavereceivedfromthissurvey.Theorderofthelistingdoesnotreflecttheirlevelofimportance.Keywords:Datamining;machinelearning;knowle
6、dgediscovery.1.DevelopingaUnifyingTheoryofDataMiningSeveralrespondentsfeelthatthecurrentstateoftheartofdataminingresearchistoo“ad-hoc.”Manytechniquesaredesignedforindividualproblems,suchasclassificationorclustering,butthereisnounifyingtheory.However,atheoreticalframeworkthatunifiesdifferentdatamining
7、tasksincludingclustering,classifica-tion,associationrules,etc.,aswellasdifferentdataminingapproaches(suchasstatistics,machinelearning,databasesystems,etc.),wouldhelpthefieldandpro-videabasisforfutureresearch.597Dece
