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.

Bibliografische gegevens
Hoofdauteurs: Zaman, Syed Mahbubuz, Haque, A. B. M. Abrar, Nayeem, Mehedi Hassan, Sagor, Misbah Uddin
Andere auteurs: Mostakim, Moin
Formaat: Thesis
Taal:English
Gepubliceerd in: Brac University 2021
Onderwerpen:
Spam filtering
Email spam detection
Feature analysis
Long Short Term Memory
Spam (Electronic mail)
ID 16201017
ID 17101078
ID 17101261
Online toegang:http://hdl.handle.net/10361/15427

Internet

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

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