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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: Email Spam Detection Using Naive Bayes Classifier
Authors Name: Megha Bhimashankar Tope
Unique Id: IJSDR1906001
Published In: Volume 4 Issue 6, June-2019
Abstract: When the world wide web is expanding and spreading every day, email seems to be a reliable form of communication and is the fastest way to send information from one place to another. Now is the day where most transactions, whether they are general or business, are happening using email as a mode of communication. Email is an effective solution for communication because it helps in real time communication, which saves time and money. In addition to their advantages, e-mail has also been affected by spam attacks. Spam emails are often used to send bulk emails to the sender. Spam will flood the Internet with many in-depth copies of the messages. These messages will be sent to recipients who do not wish to receive anything else. We will analyze many data mining methods for spam data to find the best classification for email sorting.
Keywords: E-mail spam, Classification, Feature Extraction, Naïve Bayesian Classifier
Cite Article: "Email Spam Detection Using Naive Bayes Classifier", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 6, page no.1 - 7, June-2019, Available :http://www.ijsdr.org/papers/IJSDR1906001.pdf
Downloads: 000101773
Publication Details: Published Paper ID: IJSDR1906001
Registration ID:190635
Published In: Volume 4 Issue 6, June-2019
DOI (Digital Object Identifier):
Page No: 1 - 7
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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