Improving spam email detection using hybrid feature selection and sequential minimal optimisation

Volume: 19, Issue: 1, Pages: 535 - 542
Published: Jul 1, 2020
Abstract
Communication by email is counted as a popular manner through which users can exchange information. The email could be abused by spammers to spread suspicious content to the Internet users. Thus, the need to an effective way to detect spam emails are becoming clear to keep this information safe from malicious access. Many methods have been developed to address such a problem. In this paper, a machine learning technique is applied to detect spam...
Paper Details
Title
Improving spam email detection using hybrid feature selection and sequential minimal optimisation
Published Date
Jul 1, 2020
Volume
19
Issue
1
Pages
535 - 542
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