INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
Keywords:
Machine learning, Spam filtering, Mail classification, Support vector machines, Multinomial Naïve Bayesian.
Cite Article:
"SPAM MAIL FILTERING USING MULTINOMIAL NAÏVE BAYSIAN ALGORITHM", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 7, page no.982-988, July-2022, Available :http://www.ijnrd.org/papers/IJNRD2207112.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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