The distributivity law as a tool of k-NN classifiers' aggregation: mining a cyber-attack data set

Ewa Rak, Jan G. Bazan, Adam Szczur, Wojciech Rzasa. The distributivity law as a tool of k-NN classifiers' aggregation: mining a cyber-attack data set. In 29th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2020, Glasgow, UK, July 19-24, 2020. pages 1-8, IEEE, 2020. [doi]

@inproceedings{RakBSR20,
  title = {The distributivity law as a tool of k-NN classifiers' aggregation: mining a cyber-attack data set},
  author = {Ewa Rak and Jan G. Bazan and Adam Szczur and Wojciech Rzasa},
  year = {2020},
  doi = {10.1109/FUZZ48607.2020.9177686},
  url = {https://doi.org/10.1109/FUZZ48607.2020.9177686},
  researchr = {https://researchr.org/publication/RakBSR20},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  booktitle = {29th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2020, Glasgow, UK, July 19-24, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-6932-3},
}