85 search results - page 1 / 17 » A weighted rough set based method developed for class imbala... |
ISCI
2008
13 years 4 months ago
2008
In this paper, we introduce weights into Pawlak rough set model to balance the class distribution of a data set and develop a weighted rough set based method to deal with the clas...
KBS
2008
13 years 2 months ago
2008
KDD
1995
ACM
13 years 7 months ago
1995
ACM
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
This paper analyzes the behavior of the XCS classifier system on imbalanced datasets. We show that XCS with standard parameter settings is quite robust to considerable class imbal...
IFIP12
2008
13 years 5 months ago
2008
Sampling methods are a direct approach to tackle the problem of class imbalance. These methods sample a data set in order to alter the class distributions. Usually these methods ar...