Dynamic spam detection system and most relevant features identiﬁcation using random weight network

Dynamic spam detection system and most relevant features identiﬁcation using random weight network

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Dettagli Bibliografici
Autori principali:	Zaman, Syed Mahbubuz, Haque, A. B. M. Abrar, Nayeem, Mehedi Hassan, Sagor, Misbah Uddin
Altri autori:	Mostakim, Moin
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2021
Soggetti:	Spam ﬁltering Email spam detection Feature analysis Long Short Term Memory Spam (Electronic mail) ID 16201017 ID 17101078 ID 17101261
Accesso online:	http://hdl.handle.net/10361/15427

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