Improving the Operation of Text Categorization Systems with Selecting Proper Features Based on PSO-LA

Subject Areas : Data Mining

Mozhgan  Rahimirad ¹ (Ahvaz Branch, Islamic Azad University, ahvaz, Iran)
Mohammad  Mosleh ² (dezfool Branch, Islamic Azad University, ahvaz, Iran)
Amir Masoud  Rahmani ³ (Department of Computer Engineering, Science and Research Branch, Islamic Azad University)

Received: 2015-01-19 Accepted : 2015-03-12 Published : 2015-05-01

Keywords:

References:

[1]      Guyon, I., Elisseeff, A, “An introduction to variable andfeature selection”, Journal of Machine Learning Research,Vol. 3, pp. 1157-1182. 2003.

[2]      Jensen, R, “Combining rough and fuzzy sets for feature selection,” PhD Thesise, University of Edinburgh, UK. 2005.

[3]      Jiana Meng, Hongfei Lin , Yuhai Yu , “A two-stage feature selection method for text categorization,” Computers and Mathematics with Applications 62 pp: 2793–2800. 2011.

[4]      Chuntao Jiang, Frans Coenen, Robert Sanderson, Michele Zito, “Text classification using graph mining-based feature extraction,” Knowledge-Based Systems 23 pp: 302–308. 2010.

[5]      Abdelwadood Moh’d Mesleh, “Feature sub-set selection metrics for Arabic text classification,” Pattern Recognition Letters 32 pp: 1922–1929. 2011.

[6]      M.E. ElAlami, “A filter model for feature subset selection based on genetic algorithm,” Knowledge-Based Systems 22 pp: 356–362. 2009.

[7]      Yishi Zhang, ShujuanLi, TengWang, ZigangZhang, “Divergence-based feature selection for separate classes,” Neurocomputing 101 pp:32–42. 2013.

[8]      Harun Ug˘uz, “A two-stage feature selection method for text categorization by using information gain,” principal component analysis and genetic algorithm , Knowledge-Based Systems 24 pp: 1024–1032. 2011.

[9]      Mehdi Hosseinzadeh Aghdam, Nasser Ghasem-Aghaee, Mohammad Ehsan Basiri, “Text feature selection using ant colony optimization,” Expert Systems with Applications 36 pp:6843–6853. 2009.

[10]   S _erafettin Tas _cı, TungaGüngör, “Comparison of text feature selection policies and using an adaptive framework,” Expert Systems with Applications 40 pp: 4871–4886. 2013.

[11]   Sebastiani, F,“Machine Learning in Automated TextCategorization", ACM Computing Surveys, Vol. 34, No.1, pp. 107-131. 2002.

[12]   Wei, Z., Miao, D., Hugues, J., Zhao, R., Li, W., “N-grams based feature selection and text representation for Chinese Text Classification,” International Journal of Computational Intelligence Systems, 2 (4), pp. 365-374. 2009.

[13]   Lan, M., Tan, C. L., “Supervised and Traditional Term Weighting Methods for Automatic Text Categorization,” Journal of IEEE Pami, 10 (10), pp. 1-36. 2007.

[14]   M.E. ElAlami,. “A filter model for feature subset selection based on genetic algorithm,” Knowledge-Based Systems 22 pp: 356–362. 2009.

[15]   Khan, A., Baharudin, B., Lee, L. H., Khan, K.,. “ A Review of Machine Learning Algorithms for Text-Documents Classification,” Journal of Advances in Information Technology, 1(1), pp. 4-20. 2010.