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计算机系统应用英文版:2012,21(12):221-224

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决策树、朴素贝叶斯和朴素贝叶斯树的比较

王守选¹, 叶柏龙², 李伟健³, 谭一云³

(1.湖南创博龙智信息科技股份有限公司, 长沙 410205;2.中南大学, 长沙 410083;3.湖南大学信息科学与工程学院, 长沙 410082)

Comparison of Decision Tree, Native Bayesion and Natvie Bayesion Tree

WANG Shou-Xuan¹, YE Bai-Long², LI Wei-Jian³, TAN Yi-Yun³

(1.Hunan Belong Soft Information Technology Company Limited, Changsha 410205, China;2.Central South University, Changsha 410083, China;3.College of Information Science and Engineering, Hunan University, Changsha 410082, China)

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本文已被：浏览 3407次下载 13344次
Received:May 09, 2012 Revised:June 12, 2012

中文摘要: 利用数据挖掘工具Weka, 在常态数据集adult 上进行实验, 从时间、正确率、误差率三个指标对比分析J48(C4.5 决策树), 朴素贝叶斯分类器, 朴素贝叶斯树(NBTree)三种分类算法. 结论为:在内存充足, 时间要求不高的情况下, 使用朴素贝叶斯树(NBTree)能获得更高的正确率和错误率; J48 则是一种折中的方案; 朴素贝叶斯分类器完成时间最短, 但正确率和错误率为三种算法中最差.

中文关键词: C4.5 决策树朴素贝叶斯分类器朴素贝叶斯树

Abstract:In this paper, we used the normal dataset ‘adult’ to compare the runing time, correct rate and error rate of c4.5 decition tree , native bayesion and native bayesion tree, with the data mining tool called weka. The result shows that: we can choose the NB Tree when the memory is big enough and the running time is undemanding; and choose natvie bayesion when the job should be done quickly; and the c4.5(j48) decision tree is an compromising approach.

keywords: C4.5 Decition Tree Native Bayesian NB Tree

文章编号： 中图分类号： 文献标志码：

基金项目:国家发改委信息安全产品专项基金(发改办高技[20091886 号]);国家创新基金重点项目(11C26214305383)

Author Name	Affiliation
WANG Shou-Xuan	Hunan Belong Soft Information Technology Company Limited, Changsha 410205, China
YE Bai-Long	Central South University, Changsha 410083, China
LI Wei-Jian	College of Information Science and Engineering, Hunan University, Changsha 410082, China
TAN Yi-Yun	College of Information Science and Engineering, Hunan University, Changsha 410082, China

Author Name	Affiliation
WANG Shou-Xuan	Hunan Belong Soft Information Technology Company Limited, Changsha 410205, China
YE Bai-Long	Central South University, Changsha 410083, China
LI Wei-Jian	College of Information Science and Engineering, Hunan University, Changsha 410082, China
TAN Yi-Yun	College of Information Science and Engineering, Hunan University, Changsha 410082, China

引用文本：
王守选,叶柏龙,李伟健,谭一云.决策树、朴素贝叶斯和朴素贝叶斯树的比较.计算机系统应用,2012,21(12):221-224
WANG Shou-Xuan,YE Bai-Long,LI Wei-Jian,TAN Yi-Yun.Comparison of Decision Tree, Native Bayesion and Natvie Bayesion Tree.COMPUTER SYSTEMS APPLICATIONS,2012,21(12):221-224