Classifying Severely Imbalanced Data

Author:

Klement William,Wilk Szymon,Michalowski Wojtek,Matwin Stan

Publisher

Springer Berlin Heidelberg

Reference18 articles.

1. Lecture Notes in Computer Science;J. Błaszczyński,2010

2. Chawla, N.V., Japkowicz, N., Kolcz, A. (eds.): ICML 2003 Workshop on Learning from Imbalanced Data Sets (2003)

3. Chawla, N.V., Cieslak, D.A., Hall, L.O., Joshi, A.: Automatically countering imbalance and its empirical relationship to cost. Data Mining and Knowledge Discovery 17(2), 225–252 (2008)

4. Domingos, P.: Metacost: A general method for making classifiers cost-sensitive. In: KDD 1999, pp. 155–164 (1999)

5. Drummond, C., Holte, R.C.: Exploiting the cost (in)sensitivity of decision tree splitting criteria. In: ICML 2000, pp. 239–246 (2000)

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