2018
DOI: 10.26483/ijarcs.v9i2.5571
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Classification Techniques Using Spam Filtering Email

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Cited by 7 publications
(8 citation statements)
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“…ML techniques are being employed to detect and classify a message as spam or ham. ML techniques have a significant contribution to detect spam messages on computer [26,27], SMS messages on mobile [28], spam tweets [29], or images/video [30,31].…”
Section: Introductionmentioning
confidence: 99%
“…ML techniques are being employed to detect and classify a message as spam or ham. ML techniques have a significant contribution to detect spam messages on computer [26,27], SMS messages on mobile [28], spam tweets [29], or images/video [30,31].…”
Section: Introductionmentioning
confidence: 99%
“…There are other various ML techniques that can forecast data (Applications et al, n.d.). ML-techniques are significantly involved in detecting computer spam communications (Chandrasekar, 2018), mobile text messages (Abdulhamid et al, 2017), spam tweets, and video pictures. The IDS is a computer network security system for scanning network vulnerabilities against malicious invasions.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Machine learning methods are used to combat such threats. Machine learning methods make a significant contribution to the detection of spam messages on a computer [16,17], SMS messages on mobile devices [18], spam tweets [19] or images/videos [20,21].…”
Section: Brief Overview Of Used Articlesmentioning
confidence: 99%