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决策树在数据挖掘中若干问题的研究作者：倪春鹏学位授予单位：天津大学参考文献(67条)1.ChenM-S.HanJ.YuPSDatamining:anoverviewfromadatabaseperspective1996(06)2.FayyadU.Piatetsky-ShapiroG.SmithP.Uthurusamy,RAdvancesinknowledgediscoveryanddatamining19963.陈文伟.黄金才数据仓库与数据挖掘20044.FayyadU.StolorzUDataminingandKDD:promiseandchallenges1997(01)5.郭萌.王珏数据挖掘与数据库知识发现:综述1998(03)6.刘同明数据挖掘技术及其应用20017.HanJ.KamberMDataMining:Conceptsandtechniques20018.胡侃.夏绍玮基于大型数据仓库的数据采掘:研究综述[期刊论文]-软件学报1998(1)9.钟晓.马少平.张钹.俞瑞钊数据挖掘综述[期刊论文]-模式识别与人工智能2001(1)10.李仁璞分类数据挖掘中若干基本问题的研究[学位论文]博士200211.LiuH.SetionoRFeatureselectionandclassification-aprobabilisticwrapperapproach199612.SchmitzGPJ.AldrichC.gouwsFSANN-DT:analgorithmforextraxtionofdecisiontreesfromartificialneuralnetworks1999(06)13.YeunYS.LeeKH.HanSM.YangYSMultipleneuralnetworkscoupledwithobliquedecisiontree:acasestudyontheconfigurationdesignofmidshipstructure199714.KijsirikulB.ChongkasemwongseKDecisiontreepruningusingbackproagationneuralnetworks,NeuralNetworks,2001200115.文专.王正欧一种高效的基于排序的RBF神经网络属性选择方法[期刊论文]-计算机应用2003(8)16.KurganLA.CiosKJCAIMDiscretizationAlgorithm2004(02)17.SusmagaRAnalyzingdiscretizationsofcontinuousattributesgivenamonotonicdiscriminationfunction1997(1-4)18.QuinlanJRInductionofdecisiontrees1986(01)19.QuinlanJRC4.5:programsformachinelearning199320.ShannonCLThemathematicaltheoryofcommunication194821.HongSJUseofcontextualinformationforfeaturerankinganddiscretization1997(05)22.TuPL.ChungJYAnewdecision-treeclassificationalgorithmformachinelearning,ToolswithArtificialIntelligence199223.ShahS.SastryPSNewalgorithmsforlearningandpruningobliquedecisiontrees1999(04)24.ZhiHuaZhou.YuanJiangNeC4.5:neuralensemblebasedC4.52004(06)25.YildizCT.AlpaydinEOmnivariatedecisiontrees2001(06)26.LiDH.SetionoRDimensionalityreductionviadiscretization1996(01)27.RoyA.PalSKFuzzydiscretizationoffeaturespaceforaroughsetclassifier2003(06)28.GerstbergerR.RentropPFeedforwardneuralnetsasdiscretizationschemesforODEsandDAEs1997(1-2)29.MichalskiRSAtheoryandmethodologyofinductivelearning199030.Grzymala-BusseJW.StefanowskiJThreediscretizationmethodsforruleinduction2002(01)31.AnA.CerconeNDiscretizationofcontinuousattributesforlearningclassificationrules199932.ChengC.FuAW.ZhangYEntropy-basedsubspaceclusteringforminingnumericaldata199933.BrijsT.VanhoofKCostsensitivediscretizationofnumericattributes199834.BaySDMultivariatediscretizationofcontinuousvariablesforsetmining200035.ChmielewskiMR.Grzymala-BusseJWGlobalDiscretizationofContinuousAttributesasPreprocessingforMachineLearning1996(04)36.Ren-PuLi.Zheng-OuWangAnentropy-baseddiscretizationmethodforclassificationruleswithinconsistencychecking2002(01)37.ElomaaT.RousuJGeneralandefficientmultisplittingofnumericalattributes1999(03)38.KohaviR.SahamiMError-basedandentropy-baseddiscretizationofcontinuousfeatures199639.LiuH.SetionoRFeatureselectionviadiscretization1997(04)40.TayFEH.ShenLAmodifiedChi2algorithmfordiscretization2002(03)41.NguyenHSDiscretizationproblemforroughsetsmethods199842.StefanowskiJHandlingcontinuousattributesindiscoveryofstrongdecisionrules199843.JunBH.KimCS.SongH-Y.KimJAnewcriterioninselectionanddiscretizationofattributesforthegeneralizationofdecisiontrees1997(12)44.TomMMitchellMachineLearning200345.BuntineW.NiblettTAfurthercomparionofsplittingrulesfordecision-treeinduction1992(01)46.SetionoR.LiuHEffectivedataminingusingneuralnetworks1996(06)47.CravenMW.ShavlikJWUsingneuralnetworksfordatamining1997(2-3)48.LuH.SetionoR.LiuHNeuroRule:aconnectionistapproachtodatamining199549.FuLMRulegenerationfromneuralnetworks1994(08)50.TsukimotoHExtractingrulesfromtrainedneuralnetworks2000(02)51.SetionoRExtractingrulesfromneuralnetworksbypruningandhidden-unitsplitting1997(01)52.张朝晖.陆玉昌.张钹利用神经网络发现分类规则[期刊论文]-计算机学报1999(1)53.HaixunWang.YuPSSSDT:AScalableSubspace-splittingClassifierforBiasedData54.KononenkoI.SeJHAttributeSelectionforModeling1997(2-3)55.ShihYSFamiliesofsplittingcriteriaforclassificationtree1999(04)56.QiangfuZhaoEvolutionaryDesignofNeuralNetworkTree-integrationofDecisionTree,NeuralNetworkandGA200157.TsujinoKHybridKnowledgeAcquisitionbyIntegratingDecisionTreesandNeuralNetworks199558.APEngelbrechtANewPruningHeuristicBasedonVarianceAnalysisofSensitivityInformation2001(06)59.NKwak.ChchoiInputFeatureSelectionforClassificationProblem2002(01)60.Xiuju.LipoWangRuleExtractionBasedonDataDimensionalityReductionUsingRBFNeuralNetworks61.PMMurphy.CJMerzUCIRepositoryofMachineLearningDatabases199862.PapagelisA.KallesDGATree:geneticallyevolveddecisiontrees.ToolswithArtificialIntelligence,2000200063.XindongWu.UrpaniDInductionbyAttributeElimination1999(05)64.JohnYChing.AndrewKCWongClass-dependentdiscretizationforinductivelearningfromcontinuousandmixed-modedata1995(17)65.北京大学数学系数学分析198666.马江洪.张文修.徐宗本数据挖掘与数据库知识发现:统计学的观点[期刊论文]-工程数学学报2002(1)67.钱国良.舒文豪.陈彬.权光日基于信息熵的特征子集选择启发式算法的研究1998(12)相似文献(10条)1.学位论文高相辉训练数据分类结果的不可指定性与模糊决策树泛化能力关系的研究2007决策树归纳算法是归纳学习中最重要的分支之一，是归纳推理中应用最广，最实用的方法之一。模糊决策树算法是决策树算法的一种推广，使之能够处理模糊性和不可指定性信息。模糊决策树与清晰决策树有许多不同，其中一点是推理机制的不同。在清晰情况下，对于给定的一个样例，只有一条规则可以用于分类。但在模糊情况下，有多条规则可以同时应用于一个样例，因此在模糊决策推理过程中，一个样例可能会以不同的程度被分到不同的类别中。br