A Classification Method for Imbalanced Data Based on SMOTE and Fuzzy Rough Nearest Neighbor Algorithm

Weibin Zhao, Mengting Xu, Xiuyi Jia, Lin Shang. A Classification Method for Imbalanced Data Based on SMOTE and Fuzzy Rough Nearest Neighbor Algorithm. In Yiyu Yao, Qinghua Hu, Hong Yu, Jerzy W. Grzymala-Busse, editors, Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - 15th International Conference, RSFDGrC 2015, Tianjin, China, November 20-23, 2015, Proceedings. Volume 9437 of Lecture Notes in Computer Science, pages 340-351, Springer, 2015. [doi]

@inproceedings{ZhaoXJS15,
  title = {A Classification Method for Imbalanced Data Based on SMOTE and Fuzzy Rough Nearest Neighbor Algorithm},
  author = {Weibin Zhao and Mengting Xu and Xiuyi Jia and Lin Shang},
  year = {2015},
  doi = {10.1007/978-3-319-25783-9_31},
  url = {http://dx.doi.org/10.1007/978-3-319-25783-9_31},
  researchr = {https://researchr.org/publication/ZhaoXJS15},
  cites = {0},
  citedby = {0},
  pages = {340-351},
  booktitle = {Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - 15th International Conference, RSFDGrC 2015, Tianjin, China, November 20-23, 2015, Proceedings},
  editor = {Yiyu Yao and Qinghua Hu and Hong Yu and Jerzy W. Grzymala-Busse},
  volume = {9437},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-25782-2},
}