數(shù)據(jù)挖掘在關(guān)鍵績效指標體系構(gòu)建中的應用.pdf

1、華中科技大學碩士學位論文數(shù)據(jù)挖掘在關(guān)鍵績效指標體系構(gòu)建中的應用姓名：宗丹申請學位級別：碩士專業(yè)：系統(tǒng)工程指導教師：余明暉20080606華中科技大學碩士學位論文IIAbstractAbstractWiththeadventoftheeconomicglobalizationtheinfmationagetheenterprisemustconstantlyimproveitsoverallefficiencyperfmancetosur

2、viveintheinfmationexplosionsocial.Asetofscientificstardsofperfmancemanagementsystemisindispensabletotheoperationoftheenterprisefalongtermvision.Itismeurgentftheenterprisetorealizetheintelligenceoftheperfmancemanagement.T

3、herefehowtopromotethedevelopmentofintelligenceoftheperfmancemanagementisanimptantresearchtopicftheenterprisecurrently.Asdataminingtechnologycanextracttransmitdifferentdatafromdifferentsourcesitcanhelpenterprisehaveauniqu

4、eabilitytosupptdecisionmaking.Fromthispointofviewdataminingtechnologyresearchinperfmancemanagementismemeaningful.Consideringthefeaturesofthedatainperfmancemanagementresearchontheassociationrelationoftheindicatsismadeinth

5、ethesisthedataminingtechniquesinthecourseoftheextractionisapplied.Besidessomeexpansionofexplatyresearchofdataminingapplicationsisalsomadeinthethesis.BasedontheinvestigationofPlanningDevelopmentDepartmentofChinaThreeGgesP

6、rojectCpationtheperfmancemanagementsysteminlinewiththecompanysvisionisstrivedtobeexpledestablishedinthethesiswhiletheanalysismethodsofdataminingprocessingbeingtookintoaccounttheassociationrulesalgithmisapplied.Thepurpose

7、meaningofsubjectisintroducedthebackgroundofthecrespondingareasofdevelopmentisalsoexplainedinthethesissothetheeticalfoundationofthisthesisislaid.TheconceptofKeyPerfmanceIndicats(KPI)isdescribedindetailtheprinciplesanalysi

8、sseveralmethodsofhowtochooseKeyPerfmanceIndicatsareidentified.OnthisbasisthekeyrolethattheKeyPerfmanceIndicatsplayinprojectmanagementisproposed.Thebasicfunctionsofdataminingareexplainedthesignificanceofintroductionofdata

9、miningintotheKeyPerfmanceIndicatsisfocusedon.Amongmanydataminingalgithmstheassociationrulesisfocusedonseveralcommonassociationrulealgithmsimprovedalgithmsaredescribed.Finallyademonstrationfdataminingmodelismadesomeanalyz