When is Undersampling Effective in Unbalanced Classification Tasks?
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-23528-8_13
Reference23 articles.
1. Newman, D.J., Asuncion, A.: UCI machine learning repository (2007)
2. Anyfantis, D., Karagiannopoulos, M., Kotsiantis, S., Pintelas, P.: Robustness of learning techniques in handling class noise in imbalanced datasets. In: Artificial intelligence and innovations 2007: From Theory to Applications, pp. 21–28. Springer (2007)
3. Lecture Notes in Computer Science;GEAPA Batista,2005
4. Batista, G.E.A.P.A., Prati, R.C., Monard, M.C.: A study of the behavior of several methods for balancing machine learning training data. ACM SIGKDD Explorations Newsletter 6(1), 20–29 (2004)
5. Dal Pozzolo, A., Caelen, O., Borgne, Y.-A.L., Waterschoot, S., Bontempi, G.: Learned lessons in credit card fraud detection from a practitioner perspective. Expert Systems with Applications 41(10), 4915–4928 (2014)
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