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ID:36490192
大小:2.05 MB
页数:48页
时间:2019-05-11
《决策树分类算法及其应用》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、Y1404797分类号:UDC:密级:学校代号:10150学号:20052205峡童交通戈乎硕士学位论文决策树分类算法及其应用decisiontreealgorithmandapplication学生姓名:导师及职称:学科门类:专业名称:程晓兰宋旭东副教授工学计算机应用技术研究方向:数据挖掘与决策支持系统申请学位级别:论文答辩日期:学位授予单位:硕士2007年11月17日大连交通大学大连交通大学T学硕十学位论文AbstractWiththeconstructionofenterpriseinfoIrmation,dataw
2、arehouseanddecisionsupportsystemtechnologyintheenterprisehasundergoneanunprecedentedapplication.Howwillthedecisionsupportsystemapplicationofdatamimngmethodstoenterprisesbecomethefocusofthestudy?Themainthesisisonthekeytechnologiesofthedecisiontreealgorithmoftheclas
3、sificationalgorithmofdatamining.Thisarticlefirstdoesareviewondecisiontreeclassificationalgorithm.Thebriefsummaryisaboutthemaincharacteristic,advantagesanddisadvantages,scopeofapplication,presentimprovementstate,applicationandexpectingoftypicalcategorizedalgorithms
4、ofdecisiontree.Alongwiththedataprocessingtechnology’Srapiddevelopment,thedatascalewhichneedstobeprocessedhasbeenmuchbiggerthanbefore,italreadyhasdevelopedfromtheinitialsmalldatabasetothepresentlarge-scaledatabaseandthedatawarehouse.Thenvalidity,accuracyandspaceoft
5、hedataminingbecameamajorconsiderationinthecharacteristics.Aftertheformerfaceofthetypicaldecisiontreeclassificationalgorithmresearch,thesamplingtechnologywillbeintroducedintotheDecisionTreeAlgorithmC4.5,makingsmalldatasetseffectivealgorithmcanalsogivenacertaincorre
6、ctrulesforthelargedatasets.ChoosestandarddatabaseofUCImachinelearninglibraryasdatasource,usedecisiontreeC4.5algorithmbasedonsamplingtodigoutclassificationrules.Testingshowsthatthemethodcansignificantlyimprovetheefficiencyofdataminingonconditionthatobtainssatisfact
7、orycorrectness.Immediatelycombineoneconcreteapplicationbackgroundontheironandsteelenterprises,theimprovedalgorithmwillbeusedintwomajoraspects:ironandsteelenterpriseskeyprocessesofproductioncostsandalossofironandsteelenterprises.Thefirstapplicationregardscraftroute
8、asthebreakthroughpoint,combinethecostanalysisprojectsofenterprises,dodatawarehousemodelingforproductioncostprocesses.AdoptimproveddecisiontreealgorithmC
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