NEATER: filtering of over-sampled data using non-cooperative game theory
Authors:
- 19 October 2014
- journal article
- research article
- Published by Springer Nature in Soft Computing
- Vol. 19 (11) , 3301-3322
Abstract
No abstract availableKeywords
This publication has 44 references indexed in Scilit:
- SMOTE for high-dimensional class-imbalanced dataBMC Bioinformatics, 2013
- SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theoryKnowledge and Information Systems, 2011
- A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithmsSwarm and Evolutionary Computation, 2011
- Error back-propagation algorithm for classification of imbalanced dataNeurocomputing, 2011
- Class prediction for high-dimensional class-imbalanced dataBMC Bioinformatics, 2010
- The WEKA data mining softwareACM SIGKDD Explorations Newsletter, 2009
- Aging and Environmental Exposures Alter Tissue-Specific DNA Methylation Dependent upon CpG Island ContextPLOS Genetics, 2009
- Strategies for learning in class imbalance problemsPattern Recognition, 2003
- Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implicationsProceedings of the National Academy of Sciences, 2001
- The condensed nearest neighbor rule (Corresp.)IEEE Transactions on Information Theory, 1968