Prediction of Unknown Terrorist Group Names Responsible for Attacks in Turkey

Ibrahim A. Fadel; Cemil Öz

doi:10.35377/saucis...879855

EN

Prediction of Unknown Terrorist Group Names Responsible for Attacks in Turkey

Abstract

In this paper, the dataset of real incidents that occurred in Turkey between 2013 and 2017 and are regarded as acts of terrorism without any doubt according to Global Terrorism Database (GTD) are used to predict the group names responsible for unknown attacks. Principal Component Analysis (PCA) technique was used for feature selection. A novel voting method between five classification algorithms such as Random Forests, Logistic Regression, AdaBoost, Neural Network, and Support Vector Machine was used to predict the names. The results clearly demonstrate that the classification accuracy of all classifiers studied in this paper improved when PCA was used to select features as compared to selecting features without using PCA. The prediction of terrorist group names with PCA based feature reduction and the original features is carried out and the results are compared.

Keywords

References

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Details

Primary Language

English

Subjects

Computer Software

Journal Section

Research Article

Authors

Ibrahim A. Fadel ^*
0000-0003-4726-7805
Chad

Cemil Öz
0000-0001-9742-6021
Türkiye

Publication Date

December 31, 2022

Submission Date

February 13, 2021

Acceptance Date

August 23, 2022

Published in Issue

Year 2022 Volume: 5 Number: 3

DOI

https://doi.org/10.35377/saucis...879855

IZ

https://izlik.org/JA68TH35BS

Cite

RIS / Bibtex

APA

Fadel, I. A., & Öz, C. (2022). Prediction of Unknown Terrorist Group Names Responsible for Attacks in Turkey. Sakarya University Journal of Computer and Information Sciences, 5(3), 257-268. https://doi.org/10.35377/saucis...879855

AMA

1.Fadel IA, Öz C. Prediction of Unknown Terrorist Group Names Responsible for Attacks in Turkey. SAUCIS. 2022;5(3):257-268. doi:10.35377/saucis.879855

Chicago

Fadel, Ibrahim A., and Cemil Öz. 2022. “Prediction of Unknown Terrorist Group Names Responsible for Attacks in Turkey”. Sakarya University Journal of Computer and Information Sciences 5 (3): 257-68. https://doi.org/10.35377/saucis. 879855.

EndNote

Fadel IA, Öz C (December 1, 2022) Prediction of Unknown Terrorist Group Names Responsible for Attacks in Turkey. Sakarya University Journal of Computer and Information Sciences 5 3 257–268.

IEEE

[1]I. A. Fadel and C. Öz, “Prediction of Unknown Terrorist Group Names Responsible for Attacks in Turkey”, SAUCIS, vol. 5, no. 3, pp. 257–268, Dec. 2022, doi: 10.35377/saucis...879855.

ISNAD

Fadel, Ibrahim A. - Öz, Cemil. “Prediction of Unknown Terrorist Group Names Responsible for Attacks in Turkey”. Sakarya University Journal of Computer and Information Sciences 5/3 (December 1, 2022): 257-268. https://doi.org/10.35377/saucis. 879855.

JAMA

1.Fadel IA, Öz C. Prediction of Unknown Terrorist Group Names Responsible for Attacks in Turkey. SAUCIS. 2022;5:257–268.

MLA

Fadel, Ibrahim A., and Cemil Öz. “Prediction of Unknown Terrorist Group Names Responsible for Attacks in Turkey”. Sakarya University Journal of Computer and Information Sciences, vol. 5, no. 3, Dec. 2022, pp. 257-68, doi:10.35377/saucis. 879855.

Vancouver

1.Ibrahim A. Fadel, Cemil Öz. Prediction of Unknown Terrorist Group Names Responsible for Attacks in Turkey. SAUCIS. 2022 Dec. 1;5(3):257-68. doi:10.35377/saucis. 879855