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.

Detalhes bibliográficos
Principais autores: Zaman, Syed Mahbubuz, Haque, A. B. M. Abrar, Nayeem, Mehedi Hassan, Sagor, Misbah Uddin
Outros Autores: Mostakim, Moin
Formato: Tese
Idioma:English
Publicado em: Brac University 2021
Assuntos:
Spam filtering
Email spam detection
Feature analysis
Long Short Term Memory
Spam (Electronic mail)
ID 16201017
ID 17101078
ID 17101261
Acesso em linha:http://hdl.handle.net/10361/15427

Internet

http://hdl.handle.net/10361/15427

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