A Comparative Study of Naive Bayes and Enhanced Random Forest Algorithms in Spam Detection

M. Arunkrishna, B. Mukunthan, B. Senthilkumaran

Open source

DOI
10.9734/bpi/stda/v3/3442
Published
2025-01-24
Container
Science and Technology: Developments and Applications Vol. 3
Publisher
BP International
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.9734/bpi/stda/v3/3442,
  title = {A Comparative Study of Naive Bayes and Enhanced Random Forest Algorithms in Spam Detection},
  author = {M. Arunkrishna and B. Mukunthan and B. Senthilkumaran},
  year = {2025},
  journal = {Science and Technology: Developments and Applications Vol. 3},
  doi = {10.9734/bpi/stda/v3/3442},
  url = {https://doi.org/10.9734/bpi/stda/v3/3442}
}

RIS

TY  - JOUR
TI  - A Comparative Study of Naive Bayes and Enhanced Random Forest Algorithms in Spam Detection
AU  - M. Arunkrishna
AU  - B. Mukunthan
AU  - B. Senthilkumaran
PY  - 2025
JO  - Science and Technology: Developments and Applications Vol. 3
DO  - 10.9734/bpi/stda/v3/3442
UR  - https://doi.org/10.9734/bpi/stda/v3/3442
ER  - 

APA

Arunkrishna, M., Mukunthan, B., & Senthilkumaran, B. (2025). A Comparative Study of Naive Bayes and Enhanced Random Forest Algorithms in Spam Detection. Science and Technology: Developments and Applications Vol. 3. https://doi.org/10.9734/bpi/stda/v3/3442

Source records