Improving the accuracy of cybersecurity spam email detection using ensemble techniques: A stacking approach Machine learning for spam email detection.

Tian Y, Dai X, Li Z, Guo H, Mao X

Open source

DOI
10.1371/journal.pone.0331574
Published
2025
Container
PloS one
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1371/journal.pone.0331574,
  title = {Improving the accuracy of cybersecurity spam email detection using ensemble techniques: A stacking approach Machine learning for spam email detection.},
  author = {Tian Y and Dai X and Li Z and Guo H and Mao X},
  year = {2025},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0331574},
  url = {https://doi.org/10.1371/journal.pone.0331574}
}

RIS

TY  - JOUR
TI  - Improving the accuracy of cybersecurity spam email detection using ensemble techniques: A stacking approach Machine learning for spam email detection.
AU  - Tian Y
AU  - Dai X
AU  - Li Z
AU  - Guo H
AU  - Mao X
PY  - 2025
JO  - PloS one
DO  - 10.1371/journal.pone.0331574
UR  - https://doi.org/10.1371/journal.pone.0331574
ER  -

APA

Y, T., X, D., Z, L., H, G., & X, M. (2025). Improving the accuracy of cybersecurity spam email detection using ensemble techniques: A stacking approach Machine learning for spam email detection.. PloS one. https://doi.org/10.1371/journal.pone.0331574

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