Application of Bagging algorithm to Chinese text categorization

doi:10.3778/j.issn.1002-8331.2009.05.039

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (5): 135-137.DOI: 10.3778/j.issn.1002-8331.2009.05.039

• 数据库、信号与信息处理 • Previous Articles Next Articles

Application of Bagging algorithm to Chinese text categorization

ZHANG Xiang^1,2,ZHOU Ming-quan^1,3,GENG Guo-hua¹,HOU Fan¹

1.Visualization Technology Institute，Northwest University，Xi’an 710127，China
2.College of Information and Control Engineering，Xi’an University of Architecture and Technology，Xi’an 710055，China
3.College of Information Science and Technology，Beijing Normal University，Beijing 100875，China

Received:2008-08-13 Revised:2008-10-23 Online:2009-02-11 Published:2009-02-11
Contact: ZHANG Xiang

Bagging算法在中文文本分类中的应用

张翔^1,2,周明全^1,3,耿国华¹,侯凡¹

1.西北大学可视化技术研究所，西安 710127
2.西安建筑科技大学信息与控制工程学院，西安 710055
3.北京师范大学信息科学与技术学院，北京 100875

通讯作者: 张翔

Abstract

Abstract: Bagging algorithm is a popular ensemble learning technology.A Chinese text categorization classifier is designed by using an improved Bagging algorithm—Attribute Bagging（AB）.Re-sampling attribute is used to get multiple training sets；the kNN is selected as weak learner.Experiments show that the Attribute Bagging gets lower errors and better performance than Bagging.

Key words: Attribute Bagging, Bagging, Chinese text categorization, k Nearest Neighbors（kNN）

摘要： Bagging算法是目前一种流行的集成学习算法，采用一种改进的Bagging算法Attribute Bagging作为分类算法，通过属性重取样获取多个训练集，以kNN为弱分类器设计一种中文文本分类器。实验结果表明Attribute Bagging算法较Bagging算法有更好的分类精度。

关键词: Attribute Bagging, Bagging, 中文文本分类, k-近邻

ZHANG Xiang^1,2,ZHOU Ming-quan^1,3,GENG Guo-hua¹,HOU Fan¹. Application of Bagging algorithm to Chinese text categorization[J]. Computer Engineering and Applications, 2009, 45(5): 135-137.

张翔^1,2,周明全^1,3,耿国华¹,侯凡¹. Bagging算法在中文文本分类中的应用[J]. 计算机工程与应用, 2009, 45(5): 135-137.

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Application of Bagging algorithm to Chinese text categorization

Bagging算法在中文文本分类中的应用

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