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.

Opis bibliograficzny
Główni autorzy:	Zaman, Syed Mahbubuz, Haque, A. B. M. Abrar, Nayeem, Mehedi Hassan, Sagor, Misbah Uddin
Kolejni autorzy:	Mostakim, Moin
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2021
Hasła przedmiotowe:	Spam ﬁltering Email spam detection Feature analysis Long Short Term Memory Spam (Electronic mail) ID 16201017 ID 17101078 ID 17101261
Dostęp online:	http://hdl.handle.net/10361/15427

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