基于c4.5算法的數(shù)據(jù)挖掘應用研究

1、哈爾濱理工大學碩士學位論文基于C4.5算法的數(shù)據(jù)挖掘應用研究姓名：云玉屏申請學位級別：碩士專業(yè)：計算機軟件與理論指導教師：林克正20080301哈爾濱理工大學T學碩士學位論文ApplicationandReasearchofDataMiningBasedonC45AlgorithmAbstractInthelastdecades，thedatabasetechnologiesandmagnanimitymemorytechnologie

2、shavedevelopedmuchAtinformationage，orientedtoagreatdealofdata，howtoutilizethehugeoriginaldatatoanalysisthecurrentsituationandpredictthefutureeffectivelyhavealreadybecomeagreatchallengethatthemankindhasfacedThereforetheda

3、taminingtechnologyisarisedatthehistoricmomentandcanbedevelopedrapidlyRecentlydatamininghasbeenoneofhotresearchareaTheknowledgediscoveredbydataminingtechnologiescanbeusedtoofferdecisionsupportThetypeIIDiabetesMellituscase

4、sareincreasedrapidlyrecentlyintheworldThegrowingofageincreasestheincubationperiodandillnessrateoftypeIIDiabetesMellituscases，whichindicatesthatthisdiseaseisakindofprogressiveDiabetesMellitusInresponsetothisdiseaseintheru

5、lesofdevelopment，weattemptstousedataminingalgorithmstodiscoverrules，weintroduceDataMininginthepathogenyresearchoftypeIIDiabetesMellitus，inordertoobtaintheknowledgeoftype2DiabetesMellituspathogenytodiscovertherequireddata

6、andrules，andthentostructuretheclassificationandpredictionsystemofDiabetesMellitusThesourcedataofDiabetesMellitusoriginatesfromthehealthexaminationreportsonpatientsandrandomsamplingWiththeappropriatetransformingthedataint

7、hehealthexaminationreportsandstoringthedatainthedatabase，wecangetthesourcedataFortheincompleteness，noisinessandinconsistencyinthesedata，weusesomepreprocesstechnologiesofDataMining，suchasDataCleaning，DataTransformationand

8、DataReduction，toprocessthesesourcedataTheDataMiningtaskistofindtheillnessregularityfromhugeDiabetesMellitusdata，toorganizethedecisionsystemtoprevent，diagnoseandpredicttheDiabetesMellitusDependingontheminingmissionclassif