Learning from Imbalanced Data Using Ensemble Methods and Cluster-Based Undersampling

Parinaz Sobhani, Herna Viktor, Stan Matwin. Learning from Imbalanced Data Using Ensemble Methods and Cluster-Based Undersampling. In Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras, editors, New Frontiers in Mining Complex Patterns - Third International Workshop, NFMCP 2014, Held in Conjunction with ECML-PKDD 2014, Nancy, France, September 19, 2014, Revised Selected Papers. Volume 8983 of Lecture Notes in Computer Science, pages 69-83, Springer, 2014. [doi]

@inproceedings{SobhaniVM14,
  title = {Learning from Imbalanced Data Using Ensemble Methods and Cluster-Based Undersampling},
  author = {Parinaz Sobhani and Herna Viktor and Stan Matwin},
  year = {2014},
  doi = {10.1007/978-3-319-17876-9_5},
  url = {http://dx.doi.org/10.1007/978-3-319-17876-9_5},
  researchr = {https://researchr.org/publication/SobhaniVM14},
  cites = {0},
  citedby = {0},
  pages = {69-83},
  booktitle = {New Frontiers in Mining Complex Patterns - Third International Workshop, NFMCP 2014, Held in Conjunction with ECML-PKDD 2014, Nancy, France, September 19, 2014, Revised Selected Papers},
  editor = {Annalisa Appice and Michelangelo Ceci and Corrado Loglisci and Giuseppe Manco and Elio Masciari and Zbigniew W. Ras},
  volume = {8983},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-17875-2},
}