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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: Spam Filter Using Machine Learning Techniques
Authors Name: Mr. Jatin Gupta , Prof. Abhilasha Vyas , Mr. Upendra Singh
Unique Id: IJSDR1709035
Published In: Volume 2 Issue 9, September-2017
Abstract: Email spam or garbage email (undesirable email "more often than not of a business nature conveyed in mass") is one of the real issues of the today's Internet, conveying money related harm to organizations and irritating individual clients. Among the methodologies created to stop spam, separating is an essential and well known one. Regular uses for mail channels incorporate sorting out approaching email and evacuation of spam and PC infections. A less regular utilize is to assess active email at a few organizations to guarantee that workers follow fitting laws. Clients may likewise utilize a mail channel to organize messages, and to sort them into envelopes in view of topic or other criteria. Mail channels can be introduced by the client, either as isolated projects, or as a component of their email program (email customer). In email programs, clients can make individual, "manual" channels that at that point naturally channel mail as indicated by the picked criteria. In this paper, we introduce an overview of the execution of five regularly utilized machine learning strategies in spam separating. Most email projects now additionally have a programmed spam separating capacity.
Keywords: E-mail classification, Spam, Spam filtering, Machine learning, algorithms.
Cite Article: "Spam Filter Using Machine Learning Techniques ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 9, page no.216 - 222, September-2017, Available :http://www.ijsdr.org/papers/IJSDR1709035.pdf
Downloads: 000336257
Publication Details: Published Paper ID: IJSDR1709035
Registration ID:170743
Published In: Volume 2 Issue 9, September-2017
DOI (Digital Object Identifier):
Page No: 216 - 222
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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