A Case Study for Learning from Imbalanced Data Sets

Aijun An, Nick Cercone, Xiangji Huang. A Case Study for Learning from Imbalanced Data Sets. In Eleni Stroulia, Stan Matwin, editors, Advances in Artificial Intelligence, 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001, Ottawa, Canada, June 7-9, 2001, Proceedings. Volume 2056 of Lecture Notes in Computer Science, pages 1-15, Springer, 2001. [doi]

@inproceedings{AnCH01,
  title = {A Case Study for Learning from Imbalanced Data Sets},
  author = {Aijun An and Nick Cercone and Xiangji Huang},
  year = {2001},
  url = {http://link.springer.de/link/service/series/0558/bibs/2056/20560001.htm},
  tags = {case study, data-flow},
  researchr = {https://researchr.org/publication/AnCH01},
  cites = {0},
  citedby = {0},
  pages = {1-15},
  booktitle = {Advances in Artificial Intelligence, 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001, Ottawa, Canada, June 7-9, 2001, Proceedings},
  editor = {Eleni Stroulia and Stan Matwin},
  volume = {2056},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-42144-0},
}