Suicide bomb attack identification and analytics through data mining techniques

Suicide bomb attack identification and analytics through data mining techniques

Suicide bomb attacks are a high priority concern nowadays for every country in the world. They are a massively destructive criminal activity known as terrorism where one explodes a bomb attached to himself or herself, usually in a public place, taking the lives of many. Terrorist activity in differe...

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Bibliographic Details
Main Authors: Ferooz, Faria, Hassan, Malik Tahir, Awan, Mazhar Javed, Nobanee, Haitham, Kamal, Maryam, Yasin, Awais, Mohd. Zain, Azlan
Format: Article
Language:English
Published: MDPI 2021
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/94497/1/AzlanMohd2021_SuicideBombAttackIdentification.pdf
http://eprints.utm.my/id/eprint/94497/
http://dx.doi.org/10.3390/electronics10192398
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Institution: Universiti Teknologi Malaysia
Language: English

Internet

http://eprints.utm.my/id/eprint/94497/1/AzlanMohd2021_SuicideBombAttackIdentification.pdf
http://eprints.utm.my/id/eprint/94497/
http://dx.doi.org/10.3390/electronics10192398

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