Data Science Approach for crime analysis and prediction: Saudi Arabia use-case

Nouf Aldossari; Amal Algefes; Fatma Masmoudi; Elham Kariri

doi:10.1109/WiDS-PSU54548.2022.00016

Data Science Approach for crime analysis and prediction: Saudi Arabia use-case

Nouf Aldossari
, Amal Algefes
, Fatma Masmoudi
, Elham Kariri

Information Systems

Prince Sattam Bin Abdulaziz University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

One of the cornerstones of the Saudi Vision 2030 is ensuring a good quality of life. It is closely linked to enhancing security and safety by bolstering ongoing efforts to combat crime by enacting additional measures to ensure road safety, prevent traffic accidents, and lessen the catastrophic effects of such accidents. In our study, we hope to assist authorities in making appropriate judgments on safety and security measures for the benefit of citizens by using crime analysis and predictions. Business Intelligence and machine learning algorithms are used for crime analysis and prediction, respectively. We believe that our approach aids in the production of more reliable crime prevention findings with a 99% accuracy rate.

Original language	English
Title of host publication	Proceedings - 2022 5th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2022
Editors	Tanzila Saba, Nor Shahida Jamail, Rabia Latif, Rehman Khan
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	20-25
Number of pages	6
ISBN (Electronic)	9781665408127
DOIs	https://doi.org/10.1109/WiDS-PSU54548.2022.00016
State	Published - 2022
Event	5th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2022 - Riyadh, Saudi Arabia Duration: 28 Mar 2022 → 29 Mar 2022

Publication series

Name	Proceedings - 2022 5th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2022

Conference

Conference	5th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2022
Country/Territory	Saudi Arabia
City	Riyadh
Period	28/03/22 → 29/03/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 11 Sustainable Cities and Communities

Keywords

analysis
business intelligence
crime
machine learning
prediction
saudi arabia
vision 2030
visualizations

Access to Document

10.1109/WiDS-PSU54548.2022.00016

Cite this

Aldossari, N., Algefes, A., Masmoudi, F., & Kariri, E. (2022). Data Science Approach for crime analysis and prediction: Saudi Arabia use-case. In T. Saba, N. S. Jamail, R. Latif, & R. Khan (Eds.), Proceedings - 2022 5th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2022 (pp. 20-25). (Proceedings - 2022 5th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WiDS-PSU54548.2022.00016

Aldossari, Nouf ; Algefes, Amal ; Masmoudi, Fatma et al. / Data Science Approach for crime analysis and prediction : Saudi Arabia use-case. Proceedings - 2022 5th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2022. editor / Tanzila Saba ; Nor Shahida Jamail ; Rabia Latif ; Rehman Khan. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 20-25 (Proceedings - 2022 5th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2022).

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title = "Data Science Approach for crime analysis and prediction: Saudi Arabia use-case",

abstract = "One of the cornerstones of the Saudi Vision 2030 is ensuring a good quality of life. It is closely linked to enhancing security and safety by bolstering ongoing efforts to combat crime by enacting additional measures to ensure road safety, prevent traffic accidents, and lessen the catastrophic effects of such accidents. In our study, we hope to assist authorities in making appropriate judgments on safety and security measures for the benefit of citizens by using crime analysis and predictions. Business Intelligence and machine learning algorithms are used for crime analysis and prediction, respectively. We believe that our approach aids in the production of more reliable crime prevention findings with a 99\% accuracy rate.",

keywords = "analysis, business intelligence, crime, machine learning, prediction, saudi arabia, vision 2030, visualizations",

author = "Nouf Aldossari and Amal Algefes and Fatma Masmoudi and Elham Kariri",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 5th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2022 ; Conference date: 28-03-2022 Through 29-03-2022",

year = "2022",

doi = "10.1109/WiDS-PSU54548.2022.00016",

language = "English",

series = "Proceedings - 2022 5th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "20--25",

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address = "United States",

}

Aldossari, N, Algefes, A, Masmoudi, F & Kariri, E 2022, Data Science Approach for crime analysis and prediction: Saudi Arabia use-case. in T Saba, NS Jamail, R Latif & R Khan (eds), Proceedings - 2022 5th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2022. Proceedings - 2022 5th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2022, Institute of Electrical and Electronics Engineers Inc., pp. 20-25, 5th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2022, Riyadh, Saudi Arabia, 28/03/22. https://doi.org/10.1109/WiDS-PSU54548.2022.00016

Data Science Approach for crime analysis and prediction: Saudi Arabia use-case. / Aldossari, Nouf; Algefes, Amal; Masmoudi, Fatma et al.
Proceedings - 2022 5th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2022. ed. / Tanzila Saba; Nor Shahida Jamail; Rabia Latif; Rehman Khan. Institute of Electrical and Electronics Engineers Inc., 2022. p. 20-25 (Proceedings - 2022 5th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Data Science Approach for crime analysis and prediction

T2 - 5th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2022

AU - Aldossari, Nouf

AU - Algefes, Amal

AU - Masmoudi, Fatma

AU - Kariri, Elham

PY - 2022

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N2 - One of the cornerstones of the Saudi Vision 2030 is ensuring a good quality of life. It is closely linked to enhancing security and safety by bolstering ongoing efforts to combat crime by enacting additional measures to ensure road safety, prevent traffic accidents, and lessen the catastrophic effects of such accidents. In our study, we hope to assist authorities in making appropriate judgments on safety and security measures for the benefit of citizens by using crime analysis and predictions. Business Intelligence and machine learning algorithms are used for crime analysis and prediction, respectively. We believe that our approach aids in the production of more reliable crime prevention findings with a 99% accuracy rate.

AB - One of the cornerstones of the Saudi Vision 2030 is ensuring a good quality of life. It is closely linked to enhancing security and safety by bolstering ongoing efforts to combat crime by enacting additional measures to ensure road safety, prevent traffic accidents, and lessen the catastrophic effects of such accidents. In our study, we hope to assist authorities in making appropriate judgments on safety and security measures for the benefit of citizens by using crime analysis and predictions. Business Intelligence and machine learning algorithms are used for crime analysis and prediction, respectively. We believe that our approach aids in the production of more reliable crime prevention findings with a 99% accuracy rate.

KW - analysis

KW - business intelligence

KW - crime

KW - machine learning

KW - prediction

KW - saudi arabia

KW - vision 2030

KW - visualizations

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DO - 10.1109/WiDS-PSU54548.2022.00016

M3 - Conference contribution

AN - SCOPUS:85130093315

T3 - Proceedings - 2022 5th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2022

SP - 20

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BT - Proceedings - 2022 5th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2022

A2 - Saba, Tanzila

A2 - Jamail, Nor Shahida

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A2 - Khan, Rehman

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 28 March 2022 through 29 March 2022

ER -

Aldossari N, Algefes A, Masmoudi F , Kariri E. Data Science Approach for crime analysis and prediction: Saudi Arabia use-case. In Saba T, Jamail NS, Latif R, Khan R, editors, Proceedings - 2022 5th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 20-25. (Proceedings - 2022 5th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2022). doi: 10.1109/WiDS-PSU54548.2022.00016

Data Science Approach for crime analysis and prediction: Saudi Arabia use-case

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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