Detecting Spam Emails/SMS Using Naive Bayes, Support Vector Machine and Random Forest

Vasudha Goswami; Vijay Malviya; Pratyush Sharma

doi:10.1007/978-3-030-43192-1_35

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Detecting Spam Emails/SMS Using Naive Bayes, Support Vector Machine and Random Forest

Vasudha Goswami Vijay Malviya Pratyush Sharma

Year: 2020 Lecture notes on data engineering and communications technologies Pages: 306-313 Publisher: Springer International Publishing

DOI: 10.1007/978-3-030-43192-1_35

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Keywords:

Naive Bayes classifier Random forest Support vector machine Computer science Short Message Service Machine learning Thriving Text message Artificial intelligence Context (archaeology) Data mining Computer network Geography

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Topics

Spam and Phishing Detection

Physical Sciences → Computer Science → Information Systems

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing

Detecting Spam Emails/SMS Using Naive Bayes, Support Vector Machine and Random Forest

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