[1]GUO Yumeng,LI Guozheng.A filtering framework for the multi-label feature selection[J].CAAI Transactions on Intelligent Systems,2014,9(3):292-297.[doi:10.3969/j.issn.1673-4785.201403064]

A filtering framework for the multi-label feature selection

[1] TSOUMAKAS G, KATAKIS I, VLAHAVAS I. Mining Multi-label Data[R]. Data Minging and Knowledge Discovery Handbook, 2010:667-685.
[2] TSOUMAKAS G, KATAKIS I. Multi-label classification:an overview[J]. International Journal of Data Wareh -ousing and Mining, 2007, 40(3):1-13.
[3] ZHANG M L, ZHANG K. Multi-label learning by exploiting label dependency[C]//Proceedings of the 16th ACM SIG-KDD International Conference on Knowledge Discovery and Data Mining. Washington, DC, USA, 2010:999-1008.
[4] YANG Y, PEDERSEN J O. A comparative study on feature selection in text categorization[C]//Machine Learning International Workshop then Conference. Philadelphia, USA, 1997:412-420.
[5] SWATI S, GHATOL A, ASHOK C. Feature selection for medical diagnosis:Evaluation for cardiovascular diseases[J]. Expert Systems with Applications, 2013, 40(10):4146-4153.
[6] NEWTON S, EVERTON A C, MARIA C M, et al. A comparison of multi -label feature selection methods using the problem transformation approach[J]. Electronic Notes in Theoretical Computer Science, 2013, 292:135-151.
[7] 计智伟, 胡珉, 尹建新.特征选择算法综述[J].电子设计工程, 2011, 19(9):46-51.JI Zhiwei, HU Ming, YIN Jianxin. A survey of feature selection algorithm[J]. Electronic Design Engineering, 2011, 19(9):46-51.
[8] 邱云飞, 王威, 刘大有, 等.基于方差CHI的特征选择方法[J].计算机应用研究, 2012, 29(4):1301-1303.QIU Yunfei, WANG Wei, LIU Dayou, et al. CHI feature selection method based on variance[J]. Application Research of Computers, 2012, 29(4):1301-1303.
[9] ZHANG M L, ZHOU Z H. A review on multi-label learning algorithms[J]. IEEE Transactions on Knowledge and Data Engineering, 2013, 39(10):1-43.
[10] MATTHEW R B, LUO J B, SHEN X P, et al. Learning multi-label scene classification[J]. Pattern Recognition, 2004, 37(9):1757-1771.
[11] READ J, PFAHRINGER B, HOLMES G, et al. Classifier chains for multi-label classification[J].Machine Learning, 2011, 85(3):333-359.
[12] ZHANG M L, ZHOU Z H. ML-kNN:a lazy learning approach to multi-label learning[J]. Pattern Recognition, 2007, 40(7):2038-2048.
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