AdaOUBoost: adaptive over-sampling and under-sampling to boost the concept learning in large scale imbalanced data sets

Yuxin Peng, Jia Yao. AdaOUBoost: adaptive over-sampling and under-sampling to boost the concept learning in large scale imbalanced data sets. In James Ze Wang, Nozha Boujemaa, Nuria Oliver Ramirez, Apostol Natsev, editors, Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, MIR 2010, Philadelphia, Pennsylvania, USA, March 29-31, 2010. pages 111-118, ACM, 2010. [doi]

@inproceedings{PengY10,
  title = {AdaOUBoost: adaptive over-sampling and under-sampling to boost the concept learning in large scale imbalanced data sets},
  author = {Yuxin Peng and Jia Yao},
  year = {2010},
  doi = {10.1145/1743384.1743408},
  url = {http://doi.acm.org/10.1145/1743384.1743408},
  researchr = {https://researchr.org/publication/PengY10},
  cites = {0},
  citedby = {0},
  pages = {111-118},
  booktitle = {Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, MIR 2010, Philadelphia, Pennsylvania, USA, March 29-31, 2010},
  editor = {James Ze Wang and Nozha Boujemaa and Nuria Oliver Ramirez and Apostol Natsev},
  publisher = {ACM},
  isbn = {978-1-60558-815-5},
}