Naive Bayes-guided bat algorithm for feature selection

The Scientific World Journal

Volumn 2013, Issue , 2013, Pages

  Taha, Ahmed Majid ^a   Mustapha, Aida ^b   Chen, Soong Der ^a  

^a Universiti Tenaga Nasional   (Malaysia)

^b UNIVERSITY PUTRA MALAYSIA   (Malaysia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BAT; BAYES THEOREM; BIOMIMETICS; ECHOLOCATION; METHODOLOGY; PHYSIOLOGY;

ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BIOMIMETICS; CHIROPTERA; ECHOLOCATION; PATTERN RECOGNITION, AUTOMATED;

EID: 84893863229     PISSN: None     EISSN: 1537744X     Source Type: Journal    
DOI: 10.1155/2013/325973     Document Type: Article

References (53)

1. Talbi E. G., Metaheuristics: From Design to Implementation 2009 John Wiley and Sons
2. Yu B., Yuan B., A more efficient branch and bound algorithm for feature selection. Pattern Recognition 1993 26 6 (Pubitemid 23688578)
3. Amaldi E., Kann V., On the approximability of minimizing nonzero variables or unsatisfied relations in linear systems. Theoretical Computer Science 1998 209 1-2 237 260 2-s2.0-0004493166 (Pubitemid 128450440)
4. Jensen R., Shen Q., Semantics-preserving dimensionality reduction: rough and fuzzy-rough-based approaches. IEEE Transactions on Knowledge and Data Engineering 2004 16 12 1457 1471 2-s2.0-10944249572 10.1109/TKDE.2004.96 (Pubitemid 40010921)
5. Yang J., Honavar V., Feature subset selection using genetic algorithm. IEEE Intelligent Systems and Their Applications 1998 13 2 44 48 2-s2.0-0032028297 10.1109/5254.671091 (Pubitemid 128598364)
6. Ke L., Feng Z., Ren Z., An efficient ant colony optimization approach to attribute reduction in rough set theory. Pattern Recognition Letters 2008 29 9 1351 1357 2-s2.0-43249111682 10.1016/j.patrec.2008.02.006
7. Wang X., Yang J., Teng X., Xia W., Jensen R., Feature selection based on rough sets and particle swarm optimization. Pattern Recognition Letters 2007 28 4 459 471 2-s2.0-33845523839 10.1016/j.patrec.2006.09.003 (Pubitemid 44920436)
8. Anbarasi M., Anupriya E., Iyengar N., Enhanced prediction of heart disease with feature subset selection using genetic algorithm. International Journal of Engineering Science and Technology 2010 2 5370 5376
9. Vafaie H., Imam I. F., Feature selection methods: genetic algorithms vs greedy-like search. Proceedings of the International Conference on Fuzzy and Intelligent Control Systems Louisville 1994
10. Debuse J. C. W., Rayward-Smith V. J., Feature subset selection within a simulated annealing data mining algorithm. Journal of Intelligent Information Systems 1997 9 1 57 81 2-s2.0-0031191557 (Pubitemid 127507078)
11. Caruana R., Freitag D., Greedy attribute selection. Proceedings of the 11th International Conference on Machine Learning 28 36
12. Jaddi N. S., Abdullah S., Nonlinear great deluge algorithm for rough set attribute reduction. Journal of Information Science and Engineering 2013 29 49 62
13. Tahir M. A., Bouridane A., Kurugollu F., Simultaneous feature selection and feature weighting using Hybrid Tabu Search/K-nearest neighbor classifier. Pattern Recognition Letters 2007 28 4 438 446 2-s2.0-33845497491 10.1016/j.patrec.2006.08.016 (Pubitemid 44918133)
14. Hedar A.-R., Wang J., Fukushima M., Tabu search for attribute reduction in rough set theory. Soft Computing 2008 12 9 909 918 2-s2.0-42549128276 10.1007/s00500-007-0260-1 (Pubitemid 351577724)
15. Jain A., Zongker D., Feature selection: evaluation, application, and small sample performance. IEEE Transactions on Pattern Analysis and Machine Intelligence 1997 19 2 153 158 2-s2.0-0031078007 10.1109/34.574797 (Pubitemid 127828334)
16. Leardi R., Application of a genetic algorithm to feature selection under full validation conditions and to outlier detection. Journal of Chemometrics 1994 8 65 79
17. Jensen R., Shen Q., Finding rough set reducts with Ant colony optimization. Proceedings of the UK Workshop on Computational Intelligence 2003 15 22
18. Sivagaminathan R. K., Ramakrishnan S., A hybrid approach for feature subset selection using neural networks and ant colony optimization. Expert Systems with Applications 2007 33 1 49 60 2-s2.0-33845621875 10.1016/j.eswa.2006.04.010 (Pubitemid 44959916)
19. Talbi E.-G., Jourdan L., García-Nieto J., Alba E., Comparison of population based metaheuristics for feature selection: application to microarray data classification. Proceedings of the 6th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA '08) April 2008 45 52 2-s2.0-50049085274 10.1109/AICCSA.2008.4493515
20. Wang J., Hedar A.-R., Zheng G., Wang S., Scatter search for rough set attribute reduction. Proceedings of the International Joint Conference on Computational Sciences and Optimization (CSO '09) April 2009 chn 531 535 2-s2.0-70649114555 10.1109/CSO.2009.379
21. Bobrowski L., Feature selection based on some homogeneity coefficient. Proceedings of the 9th International Conference on Pattern Recognition 1988 544 546
22. Koller D., Sahami M., Toward Optimal Feature Selection 1996
23. Modrzejewski M., Feature selection using rough sets theory. Machine Learning: ECML-93 1993 Springer 213 226
24. Liu H., Setiono R., A probabilistic approach to feature selection: a filter solution. Machine Learning 1996 319 327
25. Liu H., Yu L., Toward integrating feature selection algorithms for classification and clustering. IEEE Transactions on Knowledge and Data Engineering 2005 17 4 491 502 2-s2.0-17044405923 10.1109/TKDE.2005.66 (Pubitemid 40495592)
26. Xing E. P., Jordan M. I., Karp R. M., Feature selection for high-dimensional genomic microarray data. Machine Learning 2001 601 608
27. Webb G. I., Sammut C., Webb G. I., Naïve bayes. Encyclopedia of Machine Learning 2010 New York, NY, USA Springer 713 714
28. Feng G., Guo J., Jing B.-Y., Hao L., A Bayesian feature selection paradigm for text classification. Information Processing and Management 2012 48 2 283 302 2-s2.0-84857369324 10.1016/j.ipm.2011.08.002
29. Nguyen H. T. T., Le D. K., Nguyen N. T., Hoang K., Jdrzejowicz P., An approach to improving quality of crawlers using naïve bayes for classifier and hyperlink filter. Computational Collective Intelligence. Technologies and Applications 2012 Berlin, Germany Springer 525 535
30. Zhang Z., Zhu Q., Xie Y., Huang D. S., Jiang C., Bevilacqua V., Figueroa J., A novel image matting approach based on naive bayes classifier. Intelligent Computing Technology 2012 Berlin, Germany Springer 433 441
31. Yang M. C., Huang C. S., Chen J. H., Chang R. F., Whole breast lesion detection using naive bayes classifier for portable ultrasound. Ultrasound in Medicine and Biology 2012 38 1870 1880
32. Catal C., Diri B., Investigating the effect of dataset size, metrics sets, and feature selection techniques on software fault prediction problem. Information Sciences 2009 179 8 1040 1058 2-s2.0-59149091560 10.1016/j.ins.2008.12.001
33. Hoare Z., Landscapes of Naïve Bayes classifiers. Pattern Analysis and Applications 2008 11 1 59 72 2-s2.0-37649020425 10.1007/s10044-007-0079-5
34. Yang X. S., González J., Pelta D., Cruz C., Terrazas G., Krasnogor N., A new metaheuristic bat-inspired algorithm. Nature Inspired Cooperative Strategies For Optimization (NICSO' 10) 2010 Berlin, Germany Springer 65 74
35. Bora T. C., Coelho L. D. S., Lebensztajn L., Bat-inspired optimization approach for the brushless DC wheel motor problem. IEEE Transactions on Magnetics 2012 48 2 947 950 2-s2.0-84856405561 10.1109/TMAG.2011.2176108
36. Khan K., Nikov A., Sahai A., Dicheva D., Markov Z., Stefanova E., A fuzzy bat clustering method for ergonomic screening of office workplaces. Proceedings of the 3rd International Conference on Software, Services and Semantic Technologies (S3T '11) 2011 Berlin, Germany Springer 59 66
37. Yang X. S., Gandomi A. H., Bat algorithm: a novel approach for global engineering optimization. Engineering Computations 2012 29 5
38. Gandomi A. H., Yang X. S., Alavi A. H., Talatahari S., Bat algorithm for constrained optimization tasks. Neural Computing and Applications 2012 22 1239 1255
39. Fister I. Jr., Fister D., Yang X. S., A hybrid bat algorithm. Elektrotehniski Vestnik 2013 80 1 7
40. Yang X. S., Bat algorithm for multi-objective optimisation. International Journal of Bio-Inspired Computation 2011 3 267 274
41. Taha A. M., Tang A. Y. C., Bat algorithm for rough set attribute reduction. Journal of Theoretical and Applied Information Technology 2013 51 1
42. Nakamura R., Pereira L., Costa K., Rodrigues D., Papa J., Yang X. S., BBA: a binary bat algorithm for feature selection. Proceedings of the 25th Conference on Graphics, Patterns and Images (SIBGRAPI '12) 2012 291 297
43. Parpinelli R. S., Lopes H. S., New inspirations in swarm intelligence: a survey. International Journal of Bio-Inspired Computation 2011 3 1 16
44. Goldberg D. E., Genetic Algorithms in Search, Optimization, and Machine Learning 1989
45. Liu H., Motoda H., Feature Selection for Knowledge Discovery and Data Mining 1998
46. Moraglio A., Di Chio C., Poli R., Geometric particle swarm optimisation. Proceedings of the 10th European Conference on Genetic Programming (EuroGP '07) April 2007 125 136 2-s2.0-34548105477
47. Raman B., Ioerger T. R., Instance Based Filter for Feature Selection 2002
48. Blake C. L., Merz C. J., UCI Repository of Machine Learning Databases 1998 Irvine, Calif, USA University of California
49. Hong Z.-Q., Yang J.-Y., Optimal discriminant plane for a small number of samples and design method of classifier on the plane. Pattern Recognition 1991 24 4 317 324 2-s2.0-0025792756 10.1016/0031-3203(91)90074-F
50. Lilliefors H. W., On the Kolmogorov-Smirnov test for normality with mean and variance unknown. Journal of the American Statistical Association 1967 62 399 402
51. Wilcoxon F., Individual comparisons by ranking methods. Biometrics Bulletin 1945 1 80 83
52. Monti F., Dell'Anna R., Sanson A., Fasoli M., Pezzotti M., Zenoni S., A multivariate statistical analysis approach to highlight molecular processes in plant cell walls through ATR FT-IR microspectroscopy: the role of the a-expansin PhEXPA1 in Petunia hybrida. Vibrational Spectroscopy 2013 65 36 43
53. Duan Q., Miao D., Zhang H., Zheng J., Personalized web retrieval based on rough-fuzzy method. Journal of Computational Information Systems 2007 3 3 1067 1074 2-s2.0-34250713002 (Pubitemid 46947182)