RACOG and wRACOG Two Probabilistic Oversampling Techniques

RACOG and wRACOG : Two Probabilistic Oversampling Techniques

As machine learning techniques mature and are used to tackle complex scientific problems, challenges arise such as the imbalanced class distribution problem, where one of the target class labels is under-represented in comparison with other classes. Existing oversampling approaches for addressing th...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on knowledge and data engineering. - 1998. - 27(2015), 1 vom: 01. Jan., Seite 222-234
1. Verfasser: Das, Barnan (VerfasserIn)
Weitere Verfasser: Krishnan, Narayanan C, Cook, Diane J
Format: Aufsatz
Sprache:English
Veröffentlicht: 2015
Zugriff auf das übergeordnete Werk:IEEE transactions on knowledge and data engineering
Schlagworte:Journal Article Gibbs sampling Imbalanced class distribution Markov chain Monte Carlo (MCMC) oversampling