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.

Bibliografiska uppgifter
Huvudupphovsmän: Zaman, Syed Mahbubuz, Haque, A. B. M. Abrar, Nayeem, Mehedi Hassan, Sagor, Misbah Uddin
Övriga upphovsmän: Mostakim, Moin
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2021
Ämnen:
Spam filtering
Email spam detection
Feature analysis
Long Short Term Memory
Spam (Electronic mail)
ID 16201017
ID 17101078
ID 17101261
Länkar:http://hdl.handle.net/10361/15427

Internet

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

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