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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Zaman, Syed Mahbubuz, Haque, A. B. M. Abrar, Nayeem, Mehedi Hassan, Sagor, Misbah Uddin
Άλλοι συγγραφείς: Mostakim, Moin
Μορφή: Thesis
Γλώσσα:English
Έκδοση: Brac University 2021
Θέματα:
Spam filtering
Email spam detection
Feature analysis
Long Short Term Memory
Spam (Electronic mail)
ID 16201017
ID 17101078
ID 17101261
Διαθέσιμο Online:http://hdl.handle.net/10361/15427

Διαδίκτυο

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

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