10 CHALLENGING PROBLEMS IN DATA MINING RESEARCH

10 CHALLENGING PROBLEMS IN DATA MINING RESEARCH

ID:40384829

大小:116.84 KB

页数:8页

时间:2019-08-01

10 CHALLENGING PROBLEMS IN DATA MINING RESEARCH_第1页
10 CHALLENGING PROBLEMS IN DATA MINING RESEARCH_第2页
10 CHALLENGING PROBLEMS IN DATA MINING RESEARCH_第3页
10 CHALLENGING PROBLEMS IN DATA MINING RESEARCH_第4页
10 CHALLENGING PROBLEMS IN DATA MINING RESEARCH_第5页
资源描述:

《10 CHALLENGING PROBLEMS IN DATA MINING RESEARCH》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库

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

当前文档最多预览五页,下载文档查看全文

此文档下载收益归作者所有

当前文档最多预览五页,下载文档查看全文
温馨提示:
1. 部分包含数学公式或PPT动画的文件,查看预览时可能会显示错乱或异常,文件下载后无此问题,请放心下载。
2. 本文档由用户上传,版权归属用户,天天文库负责整理代发布。如果您对本文档版权有争议请及时联系客服。
3. 下载前请仔细阅读文档内容,确认文档内容符合您的需求后进行下载,若出现内容与标题不符可向本站投诉处理。
4. 下载文档时可能由于网络波动等原因无法下载或下载错误,付费完成后未能成功下载的用户请联系客服处理。