The effect of using Naive Bayes to detect spam email
The rapid growth of the Internet has made email a huge help in business, life, and education. However, it has also become a channel for spreading undesirable information, such as content from hackers, viruses, violence, pornography, and superstition. Spam, which is unsolicited commercial email, ofte...
Saved in:
Main Author: | Sun Zehui |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2025-01-01
|
Series: | ITM Web of Conferences |
Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_03027.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Spam Email Detection using Naïve Bayes classifier
by: Wang Liansong
Published: (2025-01-01) -
An intelligent spam detection framework using fusion of spammer behavior and linguistic.
by: Amna Iqbal, et al.
Published: (2025-01-01) -
Sql injection detection using Naïve Bayes classifier: A probabilistic approach for web application security
by: Lu Zhexi
Published: (2025-01-01) -
Effectiveness Evaluation of Random Forest, Naive Bayes, and Support Vector Machine Models for KDDCUP99 Anomaly Detection Based on K-means Clustering
by: Zhang Majun
Published: (2025-01-01) -
Research on Spam Filters Based on NB Algorithm
by: Su Shengyue
Published: (2025-01-01)