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Email Spam Filtering Using Supervised Machine Learning Techniques

Navya N.C1 , Ashwinkumar U.M2

Section:Survey Paper, Product Type: Journal Paper
Volume-07 , Issue-14 , Page no. 185-188, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si14.185188

Online published on May 15, 2019

Copyright © Navya N.C, Ashwinkumar U.M . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Navya N.C, Ashwinkumar U.M, “Email Spam Filtering Using Supervised Machine Learning Techniques,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.14, pp.185-188, 2019.

MLA Style Citation: Navya N.C, Ashwinkumar U.M "Email Spam Filtering Using Supervised Machine Learning Techniques." International Journal of Computer Sciences and Engineering 07.14 (2019): 185-188.

APA Style Citation: Navya N.C, Ashwinkumar U.M, (2019). Email Spam Filtering Using Supervised Machine Learning Techniques. International Journal of Computer Sciences and Engineering, 07(14), 185-188.

BibTex Style Citation:
@article{N.C_2019,
author = {Navya N.C, Ashwinkumar U.M},
title = {Email Spam Filtering Using Supervised Machine Learning Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {14},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {185-188},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1117},
doi = {https://doi.org/10.26438/ijcse/v7i14.185188}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i14.185188}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1117
TI - Email Spam Filtering Using Supervised Machine Learning Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - Navya N.C, Ashwinkumar U.M
PY - 2019
DA - 2019/05/15
PB - IJCSE, Indore, INDIA
SP - 185-188
IS - 14
VL - 07
SN - 2347-2693
ER -

           

Abstract

The Email Spam is known as direct mail. Email junk mail is the exercise of sending undesirable email messages, regularly through marketable enterprise content, into huge portions to a random set of recipients. Spam is mounted at the internet due to the fact that the operation rate of digital communiqué is considerably much fewer than any trade shape of conversation. There are a lot of spam filters with extraordinary strategies to recognize the received message as spam, starting from white listing/ black listing, Bayesian analysis, key word matching, mail header evaluation, postage, law and content material scanning, etc. Widely used supervised tool analyzing strategies specifically C 4.5 Decision tree classifier, Multilayer Perceptron, Naive Bayes Classifier be designed for mastering the competencies of unsolicited mail with the version be constructed via education by means of identified spam and ham emails.

Key-Words / Index Term

Classifier, Machine learning, Mail header, and Spam filter

References

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