A Review Various Techniques for Content Based Spam Filtering

Authors

  • Minhaz Fatima Nayanmulla Kallu Pathan  M. Tech CSE, Guru Nanak Institute of Engineering & Technology, Nagpur, Maharashtra, India
  • Prof. Vijaya Kamble  M. Tech CSE, Guru Nanak Institute of Engineering & Technology, Nagpur, Maharashtra, India

DOI:

https://doi.org//10.32628/18410IJSRSET

Keywords:

Spam Filtering, Machine learning, Learning-Based Methods, Classification

Abstract

In recent years' spam became a major problem of Internet and electronic correspondence. There developed plenty of techniques to battle them. In this paper, the overview of existing e-mail spam filtering methods is given. The classification, evaluation, and correlation of conventional and learning-based methods are provided. Some personal enemy of spam items is tested and compared. The statement for a new methodology in spam filtering technique is considered.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-12-30

Issue

Volume 4, Issue 11, November-December-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Minhaz Fatima Nayanmulla Kallu Pathan, Prof. Vijaya Kamble, " A Review Various Techniques for Content Based Spam Filtering, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 11, pp.267-271, November-December-2018. Available at doi : https://doi.org/10.32628/18410IJSRSET