Methods to Edit Multi-label Training Sets Using Rough Sets Theory

Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello. Methods to Edit Multi-label Training Sets Using Rough Sets Theory. In Tamás Mihálydeák, Fan Min, Guoyin Wang, Mohua Banerjee, Ivo Düntsch, Zbigniew Suraj, Davide Ciucci, editors, Rough Sets - International Joint Conference, IJCRS 2019, Debrecen, Hungary, June 17-21, 2019, Proceedings. Volume 11499 of Lecture Notes in Computer Science, pages 369-380, Springer, 2019. [doi]

@inproceedings{BelloNVB19,
  title = {Methods to Edit Multi-label Training Sets Using Rough Sets Theory},
  author = {Marilyn Bello and Gonzalo Nápoles and Koen Vanhoof and Rafael Bello},
  year = {2019},
  doi = {10.1007/978-3-030-22815-6_29},
  url = {https://doi.org/10.1007/978-3-030-22815-6_29},
  researchr = {https://researchr.org/publication/BelloNVB19},
  cites = {0},
  citedby = {0},
  pages = {369-380},
  booktitle = {Rough Sets - International Joint Conference, IJCRS 2019, Debrecen, Hungary, June 17-21, 2019, Proceedings},
  editor = {Tamás Mihálydeák and Fan Min and Guoyin Wang and Mohua Banerjee and Ivo Düntsch and Zbigniew Suraj and Davide Ciucci},
  volume = {11499},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-22815-6},
}