SPAM MAIL FILTERING USING MULTINOMIAL NAÏVE BAYSIAN ALGORITHM

Registration ID: IJNRD_180915

Published ID: IJNRD2207112

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Dr.Shaik.Nagul, Mr.A.V.D.N.Murthy

Machine learning, Spam filtering, Mail classification, Support vector machines, Multinomial Naïve Bayesian.

Email Spam has become a major problem nowadays, with Rapid growth of internet users, Email spam is also increasing. People are using them for illegal and unethical conducts, phishing and fraud. Sending malicious links through spam emails which can harm our system and can also seek into your system. Creating a fake profile and email account is much easier for the spammers, they pretend like a genuine person in their spam emails, these spammers target those people who are not aware about these frauds. So, it is necessary to Identify those spam mails which are fraudulent. In the existing proposed system they classify the mail using Support Vector Machine (SVM) by feature extraction. In this proposed system we identify spam by using techniques of machine learning, this system will discuss the Multinomial Naïve Bayesian Algorithm which is used for supervised learning. The Bayesian classifier works on the probability of the event which occurred previously. The Naïve Bayes always calculates the probability of each class and class having the maximum probability is chosen as output. The Naïve Bayes filter very well and work effectively.

Published Paper   E-Certificate

Dr.Shaik.Nagul & Mr.A.V.D.N.Murthy (July-2022). SPAM MAIL FILTERING USING MULTINOMIAL NAÏVE BAYSIAN ALGORITHM. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(7), 982-988. https://ijnrd.org/papers/IJNRD2207112.pdf

Volume 7 Issue 7, July-2022

Pages : 982-988

Paper Reg. ID: IJNRD_180915

Published Paper Id: IJNRD2207112

Downloads: 000122254

Research Area: Computer Engineering 

Author Type: Indian Author

Country: Visakaptnam, Andhrapradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2207112.pdf

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