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S., Nisha R.. Using python and machine learning algorithms to create a spam classifier. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2022.
Using python and machine learning algorithms to create a spam classifier
Name: A., Sandra Grace
Organization :
Rajalakshmi Engineering College. Dept. of Information Technology
Email :
201011004@rajalakshmi.edu.in
Name: S., Nisha R.
Organization :
Rajalakshmi Engineering College. Dept. of Information Technology
Email :
nisha.rs@rajalakshmi.edu.in
LCSH:
Machine learning
Abstract:
Many email systems now feature spam filters
that can distinguish between spam and non-spam
communications. As a result of the high demand and vast
user base, there is a surge in unwanted emails, sometimes
known as spam emails. On several occasions, more than
half of the emails received were spam. People continue to
lose millions of dollars as a result of phishing emails. The
goal of this study is to create a spam filter. SVM is a
prominent classifier, thus it was utilised alongside two
other machine learning algorithms, random forest and
radial basis function, and when compared, random
forest outperformed the other classifiers by 94 percent.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2022
Modified:
2024-05-24
Issued:
2024-05-24
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Computer Society. 2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT 2022) (pp.556-562). Los Alamitos, CA : IEEE Computer Society
eng
©copyrights King Mongkut's University of Technology North Bangkok
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A., Sandra Grace
| Title | Contributor | Type |
|---|---|---|
| Using python and machine learning algorithms to create a spam classifier
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ A., Sandra Grace;S., Nisha R. | บทความ/Article |
S., Nisha R.
| Title | Contributor | Type |
|---|---|---|
| Using python and machine learning algorithms to create a spam classifier
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ A., Sandra Grace;S., Nisha R. | บทความ/Article |