Title :
Adapting Fuzzy Points for Very-Imbalanced Datasets
Author :
Soler, Vicenç ; Roig, Jordi ; Prim, Marta
Author_Institution :
Dept. of MiSE, Univ. Autonoma of Barcelona, Bellaterra
Abstract :
RecBF networks come from RBF Networks, and are composed by a set of fuzzy points which describe the network. How to adapt these fuzzy points to work with very imbalanced datasets is described in this paper. Once the fuzzy points are found and adapted by the modifications proposed, they are included in a fuzzy system that classifies imbalanced datasets. The results showed will proof empirically that the proposed changes work well for very-imbalanced datasets
Keywords :
database theory; fuzzy set theory; radial basis function networks; RBF networks; fuzzy points; fuzzy system; imbalanced datasets; Chromium; Data mining; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Input variables; Neurons; Radial basis function networks; Strontium; Training data;
Conference_Titel :
Fuzzy Information Processing Society, 2006. NAFIPS 2006. Annual meeting of the North American
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0362-6
Electronic_ISBN :
1-4244-0363-4
DOI :
10.1109/NAFIPS.2006.365410
