Automatic Filtering of Electronic Scam by Applying Naive Bayes Approach using Machine Learning

Authors

Chadulla Vishnu Priya, Kumba Sambasiva, Maddasani Rajendra, Pula Shasirekha, Mr.C.Balaji

Abstract

Email is a very effective shape of communication in lots of businesses. This technique is used by spammers to make fraudulent income. Sending unsolicited mail emails. The purpose of this text is to offer a way to stumble on spam. Letters with wonderful shape to advantage knowledge about mechanisms the usage of biotechnology. A literature evaluation is carried out to discover effective techniques that utilize paths. Clear different facts for high-quality effects. A particular have a look at changed into conducted by way of Naive Bayes, a machine for gaining knowledge about gear styles using vector machines; Random forest, choice tree and multilayer perceptron on seven distinct email datasets, and feature extraction and preprocessing. Life is made simpler by using procedures together with particle optimization and genetic programming. Improve the general performance of the implemented classifiers. Naive Bayes polynomial genetic algorithm indicates the quality general performance. Comparison of our results. Further discussions have been held to provide a greater suitable model for other expertise acquisition structures and biotechnology fashions.

Keywords

cell computing devices, Email aid, junk mail detection.

Automatic Filtering of Electronic Scam by Applying Naive Bayes Approach using Machine Learning. Chadulla Vishnu Priya, Kumba Sambasiva, Maddasani Rajendra, Pula Shasirekha, Mr.C.Balaji. 2025. IJIRCT, Volume 11, Issue 2. Pages 1-5. https://www.ijirct.org/viewPaper.php?paperId=2504010