Improving the Performance of the k Rare Class Nearest Neighbor Classifier by the Ranking of Point Patterns

Zsolt László, Levente Török, György Kovács. Improving the Performance of the k Rare Class Nearest Neighbor Classifier by the Ranking of Point Patterns. In Flavio Ferrarotti, Stefan Woltran, editors, Foundations of Information and Knowledge Systems - 10th International Symposium, FoIKS 2018, Budapest, Hungary, May 14-18, 2018, Proceedings. Volume 10833 of Lecture Notes in Computer Science, pages 265-283, Springer, 2018. [doi]

@inproceedings{LaszloTK18,
  title = {Improving the Performance of the k Rare Class Nearest Neighbor Classifier by the Ranking of Point Patterns},
  author = {Zsolt László and Levente Török and György Kovács},
  year = {2018},
  doi = {10.1007/978-3-319-90050-6_15},
  url = {https://doi.org/10.1007/978-3-319-90050-6_15},
  researchr = {https://researchr.org/publication/LaszloTK18},
  cites = {0},
  citedby = {0},
  pages = {265-283},
  booktitle = {Foundations of Information and Knowledge Systems - 10th International Symposium, FoIKS 2018, Budapest, Hungary, May 14-18, 2018, Proceedings},
  editor = {Flavio Ferrarotti and Stefan Woltran},
  volume = {10833},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-90050-6},
}