A Knowledge Extraction Pipeline between Supervised and Unsupervised Machine Learning Using Gaussian Mixture Models for Anomaly Detection

Reda Chefira, Said Rakrak. A Knowledge Extraction Pipeline between Supervised and Unsupervised Machine Learning Using Gaussian Mixture Models for Anomaly Detection. JCSE, 15(1):1-17, 2021. [doi]

@article{ChefiraR21,
  title = {A Knowledge Extraction Pipeline between Supervised and Unsupervised Machine Learning Using Gaussian Mixture Models for Anomaly Detection},
  author = {Reda Chefira and Said Rakrak},
  year = {2021},
  doi = {10.5626/jcse.2021.15.1.1},
  url = {https://doi.org/10.5626/jcse.2021.15.1.1},
  researchr = {https://researchr.org/publication/ChefiraR21},
  cites = {0},
  citedby = {0},
  journal = {JCSE},
  volume = {15},
  number = {1},
  pages = {1-17},
}