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PR
2007
112views more  PR 2007»
13 years 5 months ago
The effect of imbalanced data sets on LDA: A theoretical and empirical analysis
This paper demonstrates that the imbalanced data sets have a negative effect on the performance of LDA theoretically. This theoretical analysis is confirmed by the experimental r...
Jigang Xie, ZhengDing Qiu
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 7 months ago
Roughly Balanced Bagging for Imbalanced Data
Imbalanced class problems appear in many real applications of classification learning. We propose a novel sampling method to improve bagging for data sets with skewed class distri...
Shohei Hido, Hisashi Kashima
FLAIRS
2007
13 years 8 months ago
A Distance-Based Over-Sampling Method for Learning from Imbalanced Data Sets
Many real-world domains present the problem of imbalanced data sets, where examples of one classes significantly outnumber examples of other classes. This makes learning difficu...
Jorge de la Calleja, Olac Fuentes
ICDE
2005
IEEE
92views Database» more  ICDE 2005»
13 years 11 months ago
The Versioning System Balancing Data Amount and Access Frequency on Distributed Storage System
In this paper, a method of handling both access frequency skew and data amount skew on a distributed parallel storage system under version management system is discussed. We assum...
Mana Nakano, Dai Kobayashi, Akitsugu Watanabe, Tos...
ICPR
2006
IEEE
14 years 6 months ago
Hybrid Kernel Machine Ensemble for Imbalanced Data Sets
A two-class imbalanced data problem (IDP) emerges when the data from majority class are compactly clustered and the data from minority class are scattered. Though a discriminative...
Kap Luk Chan, Peng Li, Wen Fang