Using sub-sampling and ensemble clustering techniques to improve performance of imbalanced classification

Author:

Nejatian Samad,Parvin Hamid,Faraji Eshagh

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference33 articles.

1. Learning from imbalanced data,;He;IEEE Trans. Knowl. Data Eng.,2009

2. Effects of resampling method and adaptation on clustering ensemble efficacy;Minaei-Bidgoli;Artif. Intell. Rev.,2014

3. Exploratory under sampling for class-imbalance learning;Liu;IEEE Trans. Syst. Man Cybern. Part B Cybern.,2009

4. KNN approach to imbalanced data distributions: a case study involving information extraction;Zhang,2003

5. Hamzei M., Kangavari M.R.: Learning from Imbalanced Data. Technical Report, Iran University of Science and Technology, Iran, 2010.

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