A new unsupervised feature selection method for text clustering based on genetic algorithms

Author:

Shamsinejadbabki Pirooz,Saraee Mohammad

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference26 articles.

1. Bao, J., Shen, J., Liu, X., & Song, Q. (2003). A new text feature extraction model and its application in document copy detection. In Proceedings of the second international conference on machine learning and cybernetics, IEEE (pp. 82–87).

2. Basu, A., Watters, C., & Shepherd, M. (2002). Support vector machines for text categorization. In Proceedings of the 36th Hawaii international conference on system sciences, IEEE.

3. Beasley, D., Bull, D., & Martin, R. (1993). A sequential niche technique for multimodal function optimization. Evolutionary Computation Journal, 101–105.

4. Buddeewong, S., & Worapoj, K. (2005). A new association rule-based text classifier algorithm. In Proceedings of the 17th IEEE international conference on tools with artificial intelligence (pp. 684–685).

5. Coley, D. (1999). An introduction to genetic algorithms for scientists and engineers. World Scientific.

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