Boosting Prediction Accuracy on Imbalanced Datasets with SVM Ensembles-Reference-Cited by-同舟云学术

Boosting Prediction Accuracy on Imbalanced Datasets with SVM Ensembles

Published:2006 Issue: Volume: Page:107-118
ISSN:0302-9743
Container-title:Advances in Knowledge Discovery and Data Mining
language:
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Author:

Liu Yang,An Aijun,Huang Xiangji

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11731139_15.pdf

Reference17 articles.

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4. Guo, H., Viktor, H.L.: Learning from imbalanced data sets with boosting and data generation: the databoost-im approach. SIGKDD Explorations 6, 30–39 (2004)

5. Kubat, M., Matwin, S.: Addressing the curse of imbalanced training sets: onesided selection. In: Proc. 14th International Conference on Machine Learning, pp. 179–186 (1997)

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