Adapting Fuzzy Points for very-imbalanced datasets

Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Volumn , Issue , 2006, Pages 211-216

  Soler, Vicenç ^a   Roig, Jordi ^a   Prim, Marta ^a  

^a UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

DATA STRUCTURES;

ANNUAL CONFERENCE; ANNUAL MEETINGS; DATA-SETS; FUZZY INFORMATION PROCESSING; IMBALANCED DATASETS; RBF NETWORKS;

FUZZY LOGIC;

EID: 46749133537     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NAFIPS.2006.365410     Document Type: Conference Paper

References (13)

1. Kubat, M. & Matwin, S. "Addressing the Curse of Imbalanced Training Sets: One-Sided Selection". Proceedings of the 14th International Conference on Machine Learning, 1997.
2. Chawla, N., Bowyer, K., Hall, L. & Kegelmeyer, W. "SMOTE: Synthetic Minority Over-sampling Technique". Journal of Artificial Intelligence Research, 16, 321-357., 2002
3. Wu, G. & E. Y. Chang. "KBA: Kernel Boundary Alignment Considering Imbalanced Data Distribution". IEEE Transactions on knowledge and data engineering, Vol 17, Number 6, pp.786-795.2005
4. Japkowicz N. & S. Stephen. "The Class Imbalance Problem: A Systematic Study", Intelligent Data Analysis, Volume 6, Number 5, pp. 429-450, 2002
5. Berthold M. & K.P. Huber. "From Radial to Rectanguar Basis Functions: A new approach for Rule Learning from Large Datasets", Tech. Report, University of Karlsruhe, 1995.
6. Berthold M. & K.P. Huber. "Constructing Fuzzy Graphs from Examples", Intelligent Data Analysis, 3, pp. 37-53, 1999
7. Berthold M. & K.P. Huber. "Introduction of Mixed Fuzzy Rules", International Journal of Fuzzy Systems, Nr. 3, pp. 382-289. 2001.
8. Wu, T.P. & S.M. Chen. "A New Method for Constructing MFs and Fuzzy Rules from Training Examples", IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics, Vol. 29, No.1, pp. 25-40, 1999
9. Wang L.X. and J.M. Mendel. "Generating Fuzzy Rules by Learning from Examples", IEEE Transactions on Systems, Man and Cybernetics, Vol. 22, No.6, pp. 1414-1427, 1992
10. Soler, V., J. Roig, M. Prim. "Fuzzy Rule Extraction from Very Imbalanced Datasets", Proceedings of the 2005 International conference on Data Mining, DMIN 2005, Las Vegas, USA.
11. Soler, V., J. Roig, M. Prim. "Fuzzy Rule Extraction using Recombined RecBF for Very-Imbalanced Datasets", ICANN-International Conference on Artificial Neural Networks, Vol2, pp. 685-690, Warsaw, Poland.2005
12. Akbani, R., S. Kwek, N. Japkowicz. "Applying Support Vector Machines to Imbalanced Datasets". Proceedings of the 2004 European Conference on Machine Learning (ECML'2004), pp.39-50.
13. Cristianini, N. & Shawe-Taylor, J. "An Introduction to Support Vector Machines and other kernel-based learning methods". Cambridge University Press, Cambridge, UK. 2000.