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.

Bibliografski detalji
Glavni autori:	Zaman, Syed Mahbubuz, Haque, A. B. M. Abrar, Nayeem, Mehedi Hassan, Sagor, Misbah Uddin
Daljnji autori:	Mostakim, Moin
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2021
Teme:	Spam ﬁltering Email spam detection Feature analysis Long Short Term Memory Spam (Electronic mail) ID 16201017 ID 17101078 ID 17101261
Online pristup:	http://hdl.handle.net/10361/15427

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