USE OF NAIVE BAYES CLASSIFIER FOR SPAM FILTERING

Authors : A COSHKUN, A AMANZHOLOVA

Pages : 117-122

View : 16 | Download : 11

Publication Date : 2019-03-30

Article Type : Research Paper

Abstract :Use of electronic mail insert ignore into journalissuearticles values(e-mail);; Since the spread of internet usage has become simple and easily accessible, it has grown in the last forty years and has become one of the most widely used communication tools today. Increased use of email has brought with it a number of problems. One of the major problems that arise is unwanted, advertising-containing electronic mail. These disturb the users of the email and also cause unnecessary resource waste. Advertisement-based e-mails are used to promote law or illegal products, and millions of unsolicited e-mails that are sent from different sources for different purposes fill the mail boxes of Internet users. Commercial e-mails, which become increasingly a problem, are engaging both internet traffic and mail servers. A lot of work has been done on the filtering of unwanted emails. In this study, a spam filter was designed using Naive Bayesian Classification. Instead of focusing on increasing spam sensitivity, it is intended to protect all non-spam e-mail as the first priority.
Keywords : Spam, ham, NaiveBayesClassifier, e mail