therefore a large amount of research is being done. The problem is tackled by preprocessing the data using wrapper-based random oversampling. Wrapper is a preprocessing approach that makes use of system (classifier) feedback to guide preprocessing...

classification algorithms therefore a large amount of research is being done. We tackle the problem by preprocessing the data using oversampling techniques. A two phase algorithm, based on Support Vector Data Description (SVDD) is proposed. SVDD is a tool...

with different classes (cannot-link) stay away as far as possible.
To achieve the mentioned objectives, in this paper, we use Mahalanobis distance in two manners. First, the minority class is oversampled based on the Mahalanobis distance such that generated...