YANG Y, PEDERSEN J O. A comparative study on feature selection in text categorization[C]Proc of the 14th International Conference on Machine Learning(ICML'97). San Francisco: Morgan Kaufmann, 1997:
[2]
412-420.
[3]
QUINLAN J R. Constructing decision tree, C4.5 [ J].Programs for Machine Learning, 1993, 3: 17-26.
[4]
COVER T M, THOMAS J A. Elements of Information Theory[M]. New York: John Wiley and Sons, 1991:274.
ZHOU Qian, ZHAO Ming-sheng, HU Min. Study on feature selection in Chinese text categorization[J]. Journal of Chinese Information Processing, 2004, 18(3): 17-23.(in Chinese)
[7]
LI S, ZHOU G, WANG Z, et al. Imbalanced sentiment classification[C]Proc of CIKM-11. New York: ACM,2011: 2469-2472.
GU Qiong, YUAN Lei, NING Bin, et al. A novel classification algorithm for imbalanced datasets based on hybrid resampling strategy [ J ]. Journal of Computer Engineering and Science, 2012, 34(10): 128-134. (in
[10]
Chinese)
[11]
JOSHI M V, KUMAR V, AGARWAL R C. Evaluating boosting algorithms to classify rare classes: comparison and improvements [ C] Proc of ICDM. San Jose: IEEE,2001: 257-264.
[12]
YANG Y. The research of imbalanced data set of sample sampling method based on K-means cluster and genetic algorithm[J]. Energy Procedia, 2012(17): 164-170.
LI Zhuo-ran, ZHANG Yong. Imbalanced data classification active learning algorithm based on boosting [J]. Journal of Computer Applications and Software, 2012, 29(6): 81-83. (in Chinese)
[15]
ZHENG Z, WU X, SRIHARI R. Feature selection for mtext categorization on imbalanced data[C]Proc of ACM SIGKDD Explorations Newsletter. New York: ACM,2004: 80-89.
[16]
CASTILLO MDD, SERRANO J I. A multi-strategy approach for digital text categorization from imbalanced documents[J]. SIGKDD Explorations Newsletter, 2004, 6(1): 70-79.
[17]
BONG C H, NARAYANAN K. An empirical study of mfeature selection for text categorization based on term weight [ C ] Proc of the 2004 IEEE International Conference on Web Intelligence. Washington D. C. :
[18]
IEEE Computer Socity, 2004: 599-602.
[19]
LI S S, ZONG C Q. A new approach to feature selection for text categorization [ C] Proc of the 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering. Wuhan: IEEE, 2005: 626-630.
XU Yan, LI Jin-tao, 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 1): 58-62. (in Chinese)
[22]
CHEN J N, HUANG H K, TIAN F Z, et al. Feature selection for text classification with naiva bayes [ J]. Expert System with Applications, 2009, 36(3): 5432-5435.
[23]
LEE C H, LEE D H, CHUANG J W. Using genetic feature selection for improving cyber attack detection rate [C]Proc of the 3rd IASTED Int爷1 Conf Advances in Computer Science and Technology. Anaheim: ACTA,
[24]
2007: 517-522.
[25]
LIU H, YU L. Toward integrating feature selection algorithms for classification and clustering [ J]. IEEE Trans on Knowledge and Data Engineering, 2005, 17(4): 491-502.
[26]
VERIKAS A, BACAUSKIENE M. Feature selection with neural networks[J]. Pattern Recognition Letters, 2002(23): 1323-1335.
[27]
WESTON J, MUKHERJEE S, CHAPELLE O, et al.Feature selection for SVMs[C] Proc of NIPS 2000.Denver: MIT Press, 2000: 668-674.
[28]
SANCHIS J S, MARRUGAT J, SORIAOLIVAS S, et al.Support vector machines and genetic algorithms for detecting unstable angina[M]Computers in Cardiology.Memphis: IEEE Computer Society Press, 2002: 413-416.
[29]
MLADENIC D, GROBELNK M. Feature selection for unbalanced class distribution and Naive Bayes [C]Proc of ICML. Bled: Morgan Kaufmann, 1999: 258-267.
[30]
陈铁明, 马继霞, Samuel H. Huang, 等. 一种新的快速特征选择和数据分类方法[J]. 计算机研究与发展,2012, 49(4): 735-745.
[31]
CHEN Tie-ming, MA Ji-xia, HUANG S H, et al. Novel and efficient method on feature selection and data classification[ J]. Journal of Computer Research and Development, 2012, 49(4): 735-745. (in Chinese)
PEI Ying-bo, LIU Xiao-xia. Study on improved CHI for feature selection in Chinese text categorization [ J ]. Computer Engineering and Applications, 2011, 47(4):128-130. (in Chinese)
[35]
JING Hong-fang, WANG Bin, YANG Ya-hui, et al. Category distribution-based feature selection framework[J]. Journal of Computer Research and Development,2009, 46(9): 1586-1593. (in Chinese)