48 search results - page 1 / 10 » An Imbalanced Data Rule Learner |
PKDD
2005
Springer
13 years 10 months ago
2005
Springer
Imbalanced data learning has recently begun to receive much attention from research and industrial communities as traditional machine learners no longer give satisfactory results. ...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
We present a comprehensive suite of experimentation on the subject of learning from imbalanced data. When classes are imbalanced, many learning algorithms can suffer from the pers...
KES
2004
Springer
13 years 10 months ago
2004
Springer
Our objective is a comparison of two data mining approaches to dealing with imbalanced data sets. The first approach is based on saving the original rule set, induced by the LEM2 ...
AI
2001
Springer
13 years 9 months ago
2001
Springer
We present our experience in applying a rule induction technique to an extremely imbalanced pharmaceutical data set. We focus on using a variety of performance measures to evaluate...
CIDM
2009
IEEE
13 years 11 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...