Algorithm of partition based network boosting for imbalanced data classification

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2010, Pages

  Shuiping, Gou ^a   Hui, Yang ^a   Licheng, Jiao ^a   Xiong, Zhuang ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; CLASSIFICATION (OF INFORMATION); LEARNING SYSTEMS;

BOOSTING METHOD; DATA CLASSIFICATION; ENSEMBLE LEARNING; GENERALIZATION ABILITY; IMBALANCED DATA; LEARN+; LEARNING METHODS; PERFORMANCE; TRAINING DATA; WEAK LEARNER;

ADAPTIVE BOOSTING;

EID: 79959424222     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2010.5596988     Document Type: Conference Paper

References (13)

1. N. V. Chawla, N. Japkowicz, and A. Kolcz, "Editorial: special issue on learning from imbalanced data sets," SIGKDD Explorations, vol. 6, no. 1, June 2004, pp.1-6.
2. G. M. Weiss, "Mining with rarity: a unifying framework," SIGKDD Explorations, vol.6, no. 1, June 2004, pp.1-6.
3. G.-Z. Li, H.-H. Meng, W.-C. Lu, J. Y. Yang, and M. Q. Yang, "Asymmetric bagging and feature selection for activities prediction of drug molecules," BMC Bioinformatics, vol. 9(suppl. 6), Aug. 2007,article no. S7.
4. C. Caragea, J. Sinapov, A. Silvescu, D. Dobbs, and V. Honavar, "Glycosylation site prediction using ensembles of support vector machine classifiers," BMC Bioinformatics, vol. 8, Nov. 2007, article no. 438.
5. R. J. Dobson, P. B. Munroe, M. J. Caufield, and M. AS. Saqi, "Predicting deleterious nsSNPs: an analysis of sequence and structural attributes," BMC Bioinformatics, vol. 7, Apr. 2006, article no. 217.
6. Michael Pazzani, Christopher Merz, Patrick Murphy, Kamal Ali, Timothy Hume and Clifford Brunk, "Reducing misclassification costs," Proceedings of the 11th International Conference on Machine Learning, San Francisco, CA , USA, 1994: 2172225.
7. Wei Fan, Salvatore J. Stolfo, Junxin Zhang, Philip K. Chan, "AdaCost: misclassification cost-sensitive boosting," Proceedings of the 16th International Conference on Machine Learning, SanMateo, USA, 1999: 972105.
8. Wang S J, Lin Z L, Zhang C S, "Network Boosting for BCI Applications," The Proc. 8th Int. Conference on Discovery Science, Singapore, October 8-11, 2005, 386-388.
9. Wang S J, Kou Z B, Zhang C S, "Network Boosting on different networks," Physica A, 2006, 366(1): 561-570.
10. P.Domingos, "Metacost: a general method for making classifiers cost-sensitive," In Proc. of Int. Conf. on Knowledge Discovery and Data Mining, 1999, pp.155-164.
11. N. Japkowicz, and S. Stephen, "The class imbalance problem: a systematic study," Intelligent Data Analysis, vol. 6, no. 5, 2002, pp.203-231.
12. http://dbgroup.cs.tsinghua.edu.cn/zouquan/libid/.
13. T. Fawcett, "ROC Graphs: Notes and Practical Considerations for Researchers," Technical report, Palo Alto, USA: HP Laboratories, March 2004.