基于歸納學(xué)習(xí)的數(shù)據(jù)挖掘技術(shù)在高校教學(xué)研究中的應(yīng)用.pdf

1、IIlllllqlllll[1l[H1111111111111111111IY1436492‘分類號：——UDC：——密級：——編號：——工程碩士學(xué)位論文基于歸納學(xué)習(xí)的數(shù)據(jù)挖掘技術(shù)在高校教學(xué)研究中的應(yīng)用碩士研究生：林忠會(huì)指導(dǎo)教師：張汝波教授企業(yè)導(dǎo)師：張業(yè)高工學(xué)位級別：工程碩士學(xué)科、專業(yè)：軟件工程所在單位：黑龍江農(nóng)墾職業(yè)學(xué)院論文提交日期：2007年12月論文答辯日期：2008年5月學(xué)位授予單位：哈爾濱工程大學(xué)哈爾濱工程人學(xué)碩學(xué)位論文Abs

2、tractHumansocietyhasenteredintotheinformationage，accompanyingwiththedatabasetechnologyfullydevelopedandthedataapplicationwidelyused，theamountofdatathatpeoplehaveaccumulatedisincreasingexponential，theDataMiningtechnologyh

3、asbecamethefocusinthefieldofinformationapplicationtechnologyTheDataMiningisaprocedureofdistillingavailableinformationandhnowiedgefrommassincompleteandrandomdataItcombines、Ⅳiththeoryandtechnologyinmanyfieldslikethedatabas

4、eartificialintelligencemachinelearningandstatisticsandetcTheexpansionofcollegeenrollmentleadstothegapbetweenintellectualcapabilitiesEverycollegetargetsatimprovingtheintellectualachievementsundervariousinfluencingfactorsT

5、raditionalanalysisofthestudents’achievementsadoptsnootherwaybutequalizationvariance，distinguishingremarkableapprajsal，credibilityandvaliditycommonlyinconsiderationofteachingitselfActuallytherearestillsomeinvisiblefactors

6、inteaching，especiallysomefactorsthatinfluencestudents’attainmentAlltheseshouldbefurtheranalyzedThispaperbypresentingseveralapplicationexamplesoftheclassicalmethod—DecisionTreeId3andcombiningtheknowledgeofattributes，provi

7、desanimprovedmethodofId3Andthisimprovedmethodhasbeenputintothedataminingofhighereducationalstudents’grades，bywhichthestudents’gradesofonespecificsubjectcanbeclassifiedandstatisticalresultcallbeanalyzed，SOastogettheinnero

8、rtheothercausesthatinfluencethestudents’gradesBycomparisonoftheclassicalandtheimprovedID3methods，wefindthatthelatteroneiSmoreconciseandmuchclosertotheidealmodelofDecisionTreeKeywords：DataMining，InformationEntropy，Decisio