lianghaibing 发表于 2009-12-7 18:21

【英文篇名】	Induction of hybrid decision tree based on post-discretization strategy
【作者英文名】	[url=]WANG Limin * and YUAN Senmiao（College of Computer Science and Technology[/url]; [url=]Jilin University[/url]; [url=]Changchun 130012[/url]; [url=]China）[/url];
【文献出处】	Progress in Natural Science, 自然科学进展(英文版), 编辑部邮箱 2004年 06期   期刊荣誉：ASPT来源刊  CJFD收录刊
【英文关键词】	[url=]machine learning[/url]; [url=]hybrid decision tree[/url]; [url=]Naive Bayes.[/url];
【摘要】	Decisiontree basedmethodsofsupervisedlearn ingrepresentoneofthemost popularapproacheswithintheAIfieldfordealingwithclassificationproblems.Theyhavebeenwidelyusedforyearsinmanydomainssuchaspatternrecognition ,datamin ing ,signalprocessing ,etc .Butstandarddecisiontreelearningalgorithmscanhandlediscreteattributeson ly[1] .Learningdecisiontreefromdataconsistingofcontinuousanddiscretevariablesisakeyissueinma chinelearning .Thedecisiontreelearningalgorithmsproposedbeforecommonlyapplydiscretizationofcontinuousattr...
【英文摘要】	By redefining test selection measure,we propose in this paper a new algorithm,Flexible NBTree,which induces a hybrid of decision tree and Naive Bayes. Flexible NBTree mitigates the negative effect of information loss on test selection by applying post-discretization strategy: at each internal node in the tree,we first select the test which is the most useful for improving classification accuracy,then apply discretization of continuous tests. The finial decision tree nodes contain univariate splits as regula...
【基金】	SupportedbytheNationalNaturalScienceFoundationofChina (GrantNo .60 2 75 0 2 6)
【DOI】	cnki:ISSN:1002-0071.0.2004-06-012