A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning methods

Yasser Yasami, Saadat Pour Mozaffari. A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning methods. The Journal of Supercomputing, 53(1):231-245, 2010. [doi]

@article{YasamiM10,
  title = {A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning methods},
  author = {Yasser Yasami and Saadat Pour Mozaffari},
  year = {2010},
  doi = {10.1007/s11227-009-0338-x},
  url = {http://dx.doi.org/10.1007/s11227-009-0338-x},
  tags = {classification, systematic-approach},
  researchr = {https://researchr.org/publication/YasamiM10},
  cites = {0},
  citedby = {0},
  journal = {The Journal of Supercomputing},
  volume = {53},
  number = {1},
  pages = {231-245},
}