Study of Multi-Class Classification Algorithms' Performance on Highly Imbalanced Network Intrusion Datasets

Viktoras Bulavas, Virginijus Marcinkevicius, Jacek Ruminski. Study of Multi-Class Classification Algorithms' Performance on Highly Imbalanced Network Intrusion Datasets. Informatica, Lith. Acad. Sci., 32(3):441-475, 2021. [doi]

@article{BulavasMR21,
  title = {Study of Multi-Class Classification Algorithms' Performance on Highly Imbalanced Network Intrusion Datasets},
  author = {Viktoras Bulavas and Virginijus Marcinkevicius and Jacek Ruminski},
  year = {2021},
  doi = {10.15388/21-INFOR457},
  url = {https://doi.org/10.15388/21-INFOR457},
  researchr = {https://researchr.org/publication/BulavasMR21},
  cites = {0},
  citedby = {0},
  journal = {Informatica, Lith. Acad. Sci.},
  volume = {32},
  number = {3},
  pages = {441-475},
}