Email Spam Detection Using Naive Bayes Classifier
E-mail spam, Classification, Feature Extraction, Naïve Bayesian Classifier
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.
"Email Spam Detection Using Naive Bayes Classifier", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 6, page no.1 - 7, June-2019, Available :https://ijsdr.org/papers/IJSDR1906001.pdf
Volume 4
Issue 6,
June-2019
Pages : 1 - 7
Paper Reg. ID: IJSDR_190635
Published Paper Id: IJSDR1906001
Downloads: 000347267
Research Area: Engineering
Country: Aurangabad, maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
