Category distribution-based feature selection framework

Jisuanji Yanjiu yu Fazhan/Computer Research and Development

Volumn 46, Issue 9, 2009, Pages 1586-1593

  Jing, Hongfang ^a,b   Wang, Bin ^a   Yang, Yahui ^c   Xu, Yan ^d  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c PEKING UNIVERSITY   (China)

^d BEIJING LANGUAGE AND CULTURE UNIVERSITY   (China)

Author keywords

Data mining; Feature deduction; Feature selection; Text categorization; Unbalanced data set

Indexed keywords

DATA SETS; EFFECTIVE DIMENSIONS; FEATURE DEDUCTION; FEATURE SELECTION; FEATURE SELECTION METHODS; FILTER-BASED; HIGH DIMENSIONS; REUTERS-21578 CORPUS; TEXT CATEGORIZATION; UNBALANCED DATA; UNBALANCED DATA SET;

TEXT PROCESSING;

EID: 70350412415     PISSN: 10001239     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (13)

1. Mladenic D, Grobelnik M. Feature selection for unbalanced class distribution and Naive Bayes[C]//Proc of ICML'99. San Francisco: Morgan Kaufmann, 1999: 258-267.
2. Zhou Qian, Zhao Mingsheng, Hu Min. Study on feature selection in Chinese text categorization[J]. Journal of Chinese Information Processing, 2004, 18(3): 17-23 (in Chinese).
3. Yang Y, Pedersen J O. A comparative study on feature selection in text categorization[C]//Proc of ICML'97. San Francisco: Morgan Kaufmann, 1997: 412-420.
4. Yan J, Liu N, Zhang B, et al. OCFS: Optimal orthogonal centroid feature selection for text categorization[C]//Proc of SIGIR'05. New York: ACM, 2005: 122-129.
5. Zheng Z, Wu X, Srihari R. Feature selection for text categorization on imbalanced data[C]//Proc of ACM SIGKDD Explorations Newsletter. New York: ACM, 2004: 80-89.
6. Xu Yan, Li Jintao, Wang Bin, et al. A study of feature selection for text categorization on imbalanced data[J]. Journal of Computer Research and Development, 2007, 44(Suppl): 58-62 (in Chinese).
7. Wu Di, Zhang Yaping, Yin Fuliang, et al. Feature selection based on class distribution difference and VPRS for text classification[J]. Journal of Electronics and Information Technology, 2007, 29(12): 2880-2884 (in Chinese).
8. Liu Tao, Liu Bingquan, Xu Zhiming, et al. Automatic domain-specific term extraction and its application in text classification[J]. Acta Electronica Sinica, 2007, 35(2): 328-332 (in Chinese).
9. Xu Yan, Li Jintao, Wang Bin, et al. A category resolve power-based feature selection method[J]. Journal of Software, 2008, 19(1): 82-89 (in Chinese).
10. Li S, Zong C. A new approach to feature selection for text categorization[C]//Proc of IEEE NLP-KE. Beijing: Beijing University of Posts and Telecommunications Press, 2005: 626-630.
11. How B C, Narayanan K. An empirical study of feature selection for text categorization based on term weightage[C]//Proc of IEEE/WIC/ACM WI. Washington: IEEE, 2004: 599-602.
12. Yang Y, Liu X. A re-examination of text categorization methods[C]//Proc of ACM SIGIR. New York: ACM, 1999: 42-49.
13. Zeng Xueqiang, Wang Mingwen, Chen Supen. A text classification model based on the latent semantic structure[J]. Journal of South China University of Technology: Natural Science Edition, 2004, 32(Suppl): 99-102 (in Chinese).