5 search results - page 1 / 1 » Generative Oversampling for Mining Imbalanced Datasets |
DMIN
2007
13 years 6 months ago
2007
— One way to handle data mining problems where class prior probabilities and/or misclassification costs between classes are highly unequal is to resample the data until a new, d...
TNN
2010
12 years 11 months ago
2010
In recent years, learning from imbalanced data has attracted growing attention from both academia and industry due to the explosive growth of applications that use and produce imba...
ESEM
2008
ACM
13 years 6 months ago
2008
ACM
This paper proposes a novel method to generate synthetic project cases and add them to a fit dataset for the purpose of improving the performance of analogy-based software effort ...
PAKDD
2010
ACM
13 years 6 months ago
2010
ACM
Abstract. One of the more challenging problems faced by the data mining community is that of imbalanced datasets. In imbalanced datasets one class (sometimes severely) outnumbers t...
FLAIRS
2008
13 years 7 months ago
2008
Building useful classification models can be a challenging endeavor, especially when training data is imbalanced. Class imbalance presents a problem when traditional classificatio...