Binary particle swarm optimisation and rough set theory for dimension reduction in classification

2013 IEEE Congress on Evolutionary Computation, CEC 2013

Volumn , Issue , 2013, Pages 2428-2435

  Cervante, Liam ^a,b   Xue, Bing ^a   Shang, Lin ^b   Zhang, Mengjie ^a  

^a VICTORIA UNIVERSITY OF WELLINGTON   (New Zealand)

^b NANJING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BINARY PARTICLE SWARM OPTIMISATION; CLASSIFICATION ALGORITHM; CLASSIFICATION PERFORMANCE; CLASSIFICATION TASKS; DIMENSION REDUCTION; FILTER DIMENSIONS; NEAREST NEIGHBOUR; TRADITIONAL FILTER;

ALGORITHMS; DECISION TREES; PARTICLE SWARM OPTIMIZATION (PSO);

ROUGH SET THEORY;

EID: 84881571608     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2013.6557860     Document Type: Conference Paper

References (31)

1. M. Dash and H. Liu, Feature selection for classification Intelligent Data Analysis, vol. 1, no. 4, pp. 131-156, 1997.
2. S.-W. Lin and S.-C. Chen, PSOLDA: A particle swarm optimization approach for enhancing classification accuracy rate of linear discriminant analysis Appled Soft Computing, vol. 9, no. 3, pp. 1008-1015, 2009.
3. K. Neshatian and M. Zhang, Genetic programming for feature subset ranking in binary classification problems " in European Conference on Genetic Programming, 2009, pp. 121-132.
4. K. Neshatian, M. Zhang, and P. Andreae, Genetic programming for feature ranking in classification problems in Simulated Evolution and Learning, ser. Lecture Notes in Computer Science, 2008, vol. 5361, pp. 544-554.
5. A filter approach to multiple feature construction for symbolic learning classifiers using genetic programming IEEE Transactions on Evolutionary Computation, vol. 16, no. 5, pp. 645-661, 2012.
6. Z. X. Zhu, Y. S. Ong, and M. Dash, Wrapper-filter feature selection algorithm using a memetic framework IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 37, no. 1, pp. 70-76, 2007.
7. A. Mohemmed, M. Zhang, and M. Johnston, "Particle swarm optimization based adaboost for face detection " in IEEE Congress on Evolutionary Computation (CEC'09), 2009, pp. 2494-2501.
8. B. Xue, M. Zhang, and W. Browne, "Particle swarm optimization for feature selection in classification: A multi-objective approach IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, no. 99, pp. 1-16, 2012.
9. L. Cervante, B. Xue, L. Shang, and M. Zhang, "A dimension reduction approach to classification based on particle swarm optimisation and rough set theory in Australasian Joint Conference on Artificial Intelligence, ser. Lecture Notes in Computer Science, vol. 7691, 2012, pp. 313-325.
10. Z. Pawlak, Rough sets International Journal of Parallel Programming, vol. 11, pp. 341-356, 1982.
11. X. Wang, J. Yang, X. Teng, W. Xia, and R. Jensen, "Feature selection based on rough sets and particle swarm optimization " Pattern Recognition Letters, vol. 28, no. 4, pp. 459-471, 2007.
12. Y. Yao and Y. Zhao, Attribute reduction in decision-theoretic rough set models Information Sciences, vol. 178, no. 17, pp. 3356-3373, 2008.
13. H. Ming, A rough set based hybrid method to feature selection " in International Symposium on Knowledge Acquisition and Modeling (KAM '08), 2008, pp. 585-588.
14. J. Kennedy and R. Eberhart, Particle swarm optimization in IEEE International Conference on Neural Networks, vol. 4, 1995, pp. 1942-1948.
15. Y. Shi and R. Eberhart, A modified particle swarm optimizer in IEEE International Conference on Evolutionary Computation (CEC'98), 1998, pp. 69-73.
16. J. Kennedy and R. Eberhart, A discrete binary version of the particle swarm algorithm in IEEE International Conference on Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., vol. 5, 1997, pp. 4104-4108.
17. Y. Liu, G. Wang, H. Chen, and H. Dong, "An improved particle swarm optimization for feature selection Journal of Bionic Engineering, vol. 8, no. 2, pp. 191-200, 2011.
18. A. Whitney, "A direct method of nonparametric measurement selection IEEE Transactions on Computers, vol. C-20, no. 9, pp. 1100-1103, 1971.
19. T. Marill and D. Green, On the effectiveness of receptors in recognition systems " IEEE Transactions on Information Theory, vol. 9, no. 1, pp. 11-17, 1963.
20. S. Stearns, On selecting features for pattern classifier in Proceedings of the 3rd International Conference on Pattern Recognition, 1976, pp. 71-75.
21. M. A. Hall, Correlation-based feature subset selection for machine learning " Ph.D. disserta tion, The University of Waikato, Hamilton, New Zealand, 1999.
22. H. Almuallim and T. G. Dietterich, Learning boolean concepts in the presence of many irrelevant features Artificial Intelligence, vol. 69, pp. 279-305, 1994.
23. K. Kira and L. A. Rendell, A practical approach to feature selection Assorted Conferences and Workshops, pp. 249-256, 1992.
24. Y. Marinakis, M. Marinaki, and G. Dounias, Particle swarm optimization for pap-smear diagnosis Expert Systems with Applications, vol. 35, no. 4, pp. 1645-1656, 2008.
25. A. Unler, A. Murat. A discrete particle swarm optimization method for feature selection in binary classification problems, European Journal of Operational Research 206, 3, 528-539, 2010.
26. M. A. Esseghir, G. Goncalves, and Y. Slimani, "Adaptive particle swarm optimizer for feature selection in international conference on Intelligent data engineering and automated learning (IDEAL'10), 2010, pp. 226-233.
27. H. N. A. Hamed, N. K. Kasabov, and S. M. Shamsuddin, Quantum-inspired particle swarm optimization for feature selection and parameter optimization in evolving spiking neural networks for classification tasks " vol. 1, pp. 132-148, 2011.
28. A. Frank and A. Asuncion, UCI machine learning repository 2010.
29. M. Clerc and J. Kennedy, The particle swarm-explosion, stability, and convergence in a multidimensional complex space IEEE Transactions on Evolutionary Computation, vol. 6, no. 1, pp. 58-73, 2002.
30. I. H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques (Second Edition). Morgan Kaufmann, 2005.
31. C. Bae, W.-C. Yeh, Y. Y. Chung, and S.-L. Liu, "Feature selection with intelligent dynamic swarm and rough set Expert Systems with Applications, vol. 37, pp. 7026-7032, 2010.