MCoM: A Semi-Supervised Method for Imbalanced Tabular Security Data

Xiaodi Li, Latifur Khan, Mahmoud Zamani, Shamila Wickramasuriya, Kevin W. Hamlen, Bhavani Thuraisingham

Open source

DOI: 10.1007/978-3-031-10684-2_4
Published: 2022
Container: Not recorded
Publisher: Springer International Publishing
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/978-3-031-10684-2_4,
  title = {MCoM: A Semi-Supervised Method for Imbalanced Tabular Security Data},
  author = {Xiaodi Li and Latifur Khan and Mahmoud Zamani and Shamila Wickramasuriya and Kevin W. Hamlen and Bhavani Thuraisingham},
  year = {2022},
  doi = {10.1007/978-3-031-10684-2_4},
  url = {https://doi.org/10.1007/978-3-031-10684-2_4}
}

RIS

TY  - JOUR
TI  - MCoM: A Semi-Supervised Method for Imbalanced Tabular Security Data
AU  - Xiaodi Li
AU  - Latifur Khan
AU  - Mahmoud Zamani
AU  - Shamila Wickramasuriya
AU  - Kevin W. Hamlen
AU  - Bhavani Thuraisingham
PY  - 2022
DO  - 10.1007/978-3-031-10684-2_4
UR  - https://doi.org/10.1007/978-3-031-10684-2_4
ER  -

APA

Li, X., Khan, L., Zamani, M., Wickramasuriya, S., Hamlen, K. W., & Thuraisingham, B. (2022). MCoM: A Semi-Supervised Method for Imbalanced Tabular Security Data. https://doi.org/10.1007/978-3-031-10684-2_4

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hal · retrieved 2026-09-25T01:56:00.104Z