Detection of Social Network Spam by using NaÏve Bayes Classification |
Author(s): |
| Mrs.V.Gayathri , K.L.N.College of Engineering,47c,Pottapalaiyam,Tamil Nadu-630612; P.Subha Sree, K.L.N.College of Engineering,47c,Pottapalaiyam,Tamil Nadu-630612; M.Shesha Vardhini, K.L.N.College of Engineering,47c,Pottapalaiyam,Tamil Nadu-630612; S.Srimathi, K.L.N.College of Engineering,47c,Pottapalaiyam,Tamil Nadu-630612 |
Keywords: |
| Social Network Spam, NaÏve Bayes Classification |
Abstract |
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To know the classification of email spam using different machine learning algorithms. To develop machine learning-based methods for detecting spammers on E-mail. Spam refers to all emails of unsolicited content that arrive in a user's email box. Spam can often lead to network congestion and blocking or even damage to the system for receiving and sending electronic messages. To implement different machine learning algorithms such as NaÏve Bayes classification Algorithm. |
Other Details |
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Paper ID: IJSRDV11I20059 Published in: Volume : 11, Issue : 2 Publication Date: 01/05/2023 Page(s): 85-86 |
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