ProWSyn: Proximity Weighted Synthetic Oversampling Technique for Imbalanced Data Set Learning

Sukarna Barua, Md. Monirul Islam, Kazuyuki Murase. ProWSyn: Proximity Weighted Synthetic Oversampling Technique for Imbalanced Data Set Learning. In Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu, editors, Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II. Volume 7819 of Lecture Notes in Computer Science, pages 317-328, Springer, 2013. [doi]

@inproceedings{BaruaIM13,
  title = {ProWSyn: Proximity Weighted Synthetic Oversampling Technique for Imbalanced Data Set Learning},
  author = {Sukarna Barua and Md. Monirul Islam and Kazuyuki Murase},
  year = {2013},
  doi = {10.1007/978-3-642-37456-2_27},
  url = {http://dx.doi.org/10.1007/978-3-642-37456-2_27},
  researchr = {https://researchr.org/publication/BaruaIM13},
  cites = {0},
  citedby = {0},
  pages = {317-328},
  booktitle = {Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II},
  editor = {Jian Pei and Vincent S. Tseng and Longbing Cao and Hiroshi Motoda and Guandong Xu},
  volume = {7819},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-37456-2},
}