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ID:36503228
大小:331.90 KB
页数:53页
时间:2019-05-11
《基于数据仓库的经营分析系统研究与应用》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、华中科技大学硕士学位论文基于数据仓库的经营分析系统研究与应用姓名:李成凯申请学位级别:硕士专业:软件工程指导教师:覃中平20050424AbstractDataWarehouseisatechnologyofconstructingenterpriseinformationsystem,whichisanewdevelopmentinrecentyears,anditcanchangethecollecteddateintoanalyticalmeaningfulinformation.Theinformationsy
2、stemsofenterprisesstructuredbydatawarehousetechnologycanmakeinformationplatformofenterprisedevelopmentintodataenvironmentofsystem,insteadoforiginallytakingsingledatabaseascenterdataenvironment,andcanofferthecommercialdecisionsupportinformationforenterprise.Witht
3、hedevelopmentofeconomicandwhojoiningWTO,thecompetitionintelecommunicationtradeisaggravatingdaybyday.Toadapttothefiercecompetitiveenvironmentofmarket,weshouldfullyutilizealargenumberofvaluabledatumresourcesproducedbybusinesssupportsystems,anddrawusefulinformation
4、fromthesedata,soastorealizeintellectualityinmessageprocessingandoffertheprompt,accurate,scientificdecisionsupportformarketmanagement.Itisimperativethatusedatawarehousetechnologytostructuretelecombusinessanalysissystem.Thispaperintroducesbrieflythebasictheoryandm
5、ethods,usedthebackgroundofsomemobiletelecommunicationcompany’sManageandAnalysisSystem,andelaboratesthebuildingofdatawarehousesystemfromdatawarehouseandOLAPthetwopart,especiallytoldthedesignandoperationprocessofETLpart.Thesystemhelpthecustomertogetbusinessinforma
6、tioneffectivelyandtimelyfromhugedatasource.Ithassteadilyeffectafterbeingused,thisisagoodmodelforthedesignoflikelysystem.Inuseofthissystemfordatamining,thepaperuseacasethatclassifyingarithmeticisusedinanalyzingsubscriber’soutline.Itcombinestheideasofsystemcluster
7、ingarithmeticandmethodbasedondatadensitybyinputthemethodbasedondatadensityintoideasofsystemclusteringarithmetic.Thecapacityofcleansenoisedatahasbeenenhancedthanbefore.Itgotthegoalofclassifysubscribersinpracticebetterthanbefore.Keywords:Datawarehouse;DataMining;C
8、lusteringII独创性声明本人声明所呈交的学位论文是我个人在导师的指导下进行的研究工作及取得的研究成果近我所知除文中已标明引用的内容外本论文不包含任何其他人或集体已经发表或撰写过的研究成果对本文的研究做出贡献的个人和集体均已在文中以明确方式标明本人完全意识到本声明的法律结果由本人承担学位论文作者签名李成凯日期2005年4月2
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