Journal of Innovation in Computer Science and Engineering
  • Year: 2021
  • Volume: 10
  • Issue: 2

Implementation of email spam filtering over supervised machine learningalgorithm

  • Author:
  • K Ravikanth1, B Thilak Reddy1, S Rajani1, K Chandra Shekar2, K Sreekanth3, A Sreedhar1
  • Total Page Count: 7
  • Page Number: 40 to 46

1Department of Computer Science and Engineering, Rajiv Gandhi University of Knowledge Technologies, IIIT Basar, Telangana, India

2Research Scholar, Jawaharlal Nehru Technological University Hyderabad, Hyderabad, India

3Associate Professor, Department of Computer Science and Engineering, Nalla Narasimha Reddy Education Society's Group of Institutions, Hyderabad, India

*E-mail: ravikanth27787@gmail.com

**thilakreddy08@gmail.com

***rajanithilak.reddy@gmail.com

****chandhra2k7@gmail.com

*****sreekanthkutur@gmail.com

******sreedharaakula@gmail.com

Online published on 04 December, 2021.

Abstract

As you are aware that in recent days, the internet has been created many different platforms for making human life more secure. Among them e-mail is a substantial platform for user communication. Email is nothing but its called an electronic messaging framework which transmits the message from one user to another user. Nowadays, e-mail has turned into a typical medium because of its several branches like Gmail, Yahoo mail and Outlook soon, which are completely free of cost for all web user by following some administration privileges. At present, Email called a secure worldwide communication medium for its several functions. But sometimes Email becomes more hazardous for few “Spam Email”. Machine learning algorithms such as Naive Bayes, Support Vector Machines, Neural Networks, K nearest neighbor, are some prominent technique helps us to create more predefined rules. Over email spam filtering technique.

Keywords

Email Spam Detection, Spam Detection, Machine Learning, Neural Networks, Naive Bayes, Support Vector Classifier, Logistic Regression, Spam, Social Media, Email