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[1]徐欣,黄理灿,赵玉虹.基于粗糙集特征加权的文本分类[J].浙江理工大学学报,2011,28(04):544-548.
 XU Xin,HUANG Li can,ZHAO Yu hong.Text Categorization by Feature Weighting Scheme Based on Rough Set[J].Journal of Zhejiang Sci-Tech University,2011,28(04):544-548.
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基于粗糙集特征加权的文本分类()
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浙江理工大学学报[ISSN:1673-3851/CN:33-1338/TS]

卷:
第28卷
期数:
2011年04期
页码:
544-548
栏目:
出版日期:
2011-08-31

文章信息/Info

Title:
Text Categorization by Feature Weighting Scheme Based on Rough Set
文章编号:
16733851 (2011) 04054405
作者:
徐欣 黄理灿 赵玉虹
 浙江理工大学信息电子学院, 杭州 310018
Author(s):
 XU Xin HUANG Lican ZHAO Yuhong
 School of Informatics and Electronics, Zhejiang SciTech University, Hangzhou 310018, China
关键词:
 粗糙集理论 特征加权 文本分类 近似分类精度 近似分类质量
分类号:
TP301
文献标志码:
A
摘要:
    文本分类是当今信息检索和数据挖掘等领域的研究热点,而特征加权是文本分类过程中的重要步骤。为了提高分类质量,文章通过深入分析粗糙集理论和逆文本频率加权的思想,提出了一种基于粗糙集的特征加权方法,从近似分类精度和近似分类质量两个方面考虑特征词对分类的全局作用,将文本的类别属性信息引入到权重中。通过文本分类实验证明,该加权方法有助于提高分类系统的分类效果。

参考文献/References:

 [1] 苏金树, 张博锋, 徐昕. 基于机器学习的文本分类技术研究进展[J]. 软件学报, 2006, 17(9): 18481855.
[2] Zdzislaw Pawlak, Andrzej Skowron. Rudiments of rough sets[J]. Information Sciences, 2007, 177: 327.
[3] 王国胤. Rough集理论与知识获取[M]. 西安: 西安交通大学出版社, 2001.
[4] Salton G, Mc Gill M J. Introduction to Modern Information Retrieval[M]. New York: Mc GrawHill Book Co, 1983.
[5] 胡清华, 谢宗霞, 于达仁. 基于粗糙集加权的文本分类方法研究[J]. 情报学报, 2005, 24(1): 5963.
[6] 刘赫, 刘大有, 裴志利, 等. 一种基于特征重要度的文本分类特征加权方法[J]. 计算机研究与发展, 2009, 46(10): 16931703.
[7] Huang Lican, Xu Xin, Zhao Yuhong, et al. Feature weighting scheme for text categorization based on rough Set[C]//The First International Conference on Networking and Distributed Computing(ICNDC2010), 2010: 186188.
[8] Yang Yiming, Liu Xin. A reexamination of text categorization methods

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备注/Memo

备注/Memo:
 收稿日期: 2010-09-23
基金项目: 浙江省“钱江人才计划”项目(2007R10013)
作者简介: 徐欣(1986-),男,山东临沂人,硕士研究生,主要从事智能信息处理、人工智能方面的研究。
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