Classifying Emails into Spam or Ham Using ML Algorithms-Reference-Cited by-同舟云学术

Classifying Emails into Spam or Ham Using ML Algorithms

Published:2021 Issue: Volume: Page:214-221
ISSN:2367-3370
Container-title:Data Science and Security
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Author:

Mohanan Gopika,Padmanabhan Deepika Menon,Anisha G. S.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-4486-3_23

Reference10 articles.

1. Pandey P, Agrawal C, Ansari TN (2018) A hybrid algorithm for malicious spam detection in email through machine learning. Int J Appl Eng Res 13(24):16971–16979. ISSN 0973-4562

2. Sahami M, Dumais S, Heckerman D, Horvitz E (July 1998) A Bayesian approach to filtering junk e-mail. In: Learning for text categorization. Papers from the 1998 workshop, vol 62, pp 98–105

3. Bhuiyan H, Ashiquzzaman A, Juthi TI, Ara SBJ (2018) A survey of existing e-mail spam filtering methods considering machine learning techniques. Glob J Comput Sci Technol C Softw Data Eng 18(2):21–29. Version 1.0

4. Sharaff A, Nagwani NK, Swami K (2015) Impact of feature selection technique on email classification. Int J Knowl Eng IACSIT 1(1):59–63

5. Ruskanda F (2019) Study on the effect of preprocessing methods for spam email detection. Indonesian J Comput (Indo-JC) 4(1):109

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