1175 search results - page 6 / 235 » Experimental perspectives on learning from imbalanced data |
CIDM
2009
IEEE
14 years 2 months ago
2009
IEEE
— Many real-world applications have problems when learning from imbalanced data sets, such as medical diagnosis, fraud detection, and text classification. Very few minority clas...
AIPRF
2008
13 years 9 months ago
2008
Unsolicited commercial or bulk emails or emails containing viruses pose a great threat to the utility of email communications. A recent solution for filtering is reputation systems...
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
We propose a new decision tree algorithm, Class Confidence Proportion Decision Tree (CCPDT), which is robust and insensitive to class distribution and generates rules which are st...
ISDA
2010
IEEE
13 years 5 months ago
2010
IEEE
Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...
PAKDD
2011
ACM
12 years 10 months ago
2011
ACM
A structural similarity kernel is presented in this paper for SVM learning, especially for learning with imbalanced datasets. Kernels in SVM are usually pairwise, comparing the sim...