Predicting the success of suicide terrorist attacks using different machine learning algorithms

Predicting the success of suicide terrorist attacks using different machine learning algorithms

Extremism has become one of the major threats throughout the world over the past few decades. In the last two decades, there has been a sharp increase in extremism and terrorist attacks. Nowadays, terrorism concerns all nations in terms of national security and is considered one of the most priority...

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Bibliographic Details
Main Authors: Hossain, Md Junayed, Abdullah, Sheikh Md, Barkatullah, Mohammad, Miahh, Md Saef Ulla, Sarwar, Talha, Monir, Md Fahad
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/39083/
http://umpir.ump.edu.my/id/eprint/39083/1/Predicting%20the%20success%20of%20suicide%20terrorist%20attacks%20using%20different%20machine.pdf
http://umpir.ump.edu.my/id/eprint/39083/2/Predicting%20the%20success%20of%20suicide%20terrorist%20attacks%20using%20different%20machine%20learning%20algorithms_ABS.pdf

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