{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T05:14:04Z","timestamp":1744262044900,"version":"3.37.3"},"reference-count":27,"publisher":"Oxford University Press (OUP)","issue":"8","license":[{"start":{"date-parts":[[2022,4,23]],"date-time":"2022-04-23T00:00:00Z","timestamp":1650672000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,8,14]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>One of the biggest social problems currently facing major cities around the globe is the high rate of crime. The largest part of the social-economic loss globally is ascribed to criminal activities. Crime also has direct impacts on the nation\u2019s economy, social constructs and country\u2019s global repute. Inadequate policing capital is one of the biggest challenges facing many global economies. As a result, these resources have to be rationed. This implies that some areas will not be covered extensively thus providing favorable environs for perpetrators. To combat crime, more innovative security measures are needed. In this sense, traditional methods are being replaced with modern approaches of machine learning systems that can predict the occurrence of crime. These crime forecasts can be used by legislatures and law enforcers to make effective and informed approaches that can efficiently eradicate criminals and facilitate nation building. This paper seeks to review the literature on the application of machine learning models in crime prediction and to find the influences that have an impact on crimes in Saudi Arabia. The results show that after the four models were trained and tested, the random forest classifier had the highest accuracy of 97.84%.<\/jats:p>","DOI":"10.1093\/comjnl\/bxac053","type":"journal-article","created":{"date-parts":[[2022,4,14]],"date-time":"2022-04-14T11:13:14Z","timestamp":1649934794000},"page":"1936-1948","source":"Crossref","is-referenced-by-count":3,"title":["Crime Type Prediction in Saudi Arabia Based on Intelligence Gathering"],"prefix":"10.1093","volume":"66","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6317-4313","authenticated-orcid":false,"given":"Saleh","family":"Albahli","sequence":"first","affiliation":[{"name":"Department of Information Technology , , , Buraydah, Saudi Arabia"},{"name":"College of Computer , , , Buraydah, Saudi Arabia"},{"name":"Qassim University , , , Buraydah, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0292-7304","authenticated-orcid":false,"given":"Waleed","family":"Albattah","sequence":"additional","affiliation":[{"name":"Department of Information Technology , , , Buraydah, Saudi Arabia"},{"name":"College of Computer , , , Buraydah, Saudi Arabia"},{"name":"Qassim University , , , Buraydah, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2022,4,23]]},"reference":[{"key":"2023081805145467000_ref1","first-page":"1","volume-title":"2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE)","author":"Kumar","year":"2020"},{"key":"2023081805145467000_ref2","doi-asserted-by":"crossref","first-page":"1462","DOI":"10.1016\/j.procs.2020.03.357","article-title":"A clustering based hotspot identification approach for crime prediction","volume":"167","author":"Hajela","year":"2020","journal-title":"Procedia Computer Science"},{"key":"2023081805145467000_ref3","first-page":"163","volume-title":"Imagination for Crime Prevention: Essays in Honour of Ken Pease","author":"Tseloni","year":"2007"},{"issue":"1","key":"2023081805145467000_ref4","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-017-06720-z","article-title":"The association of ambient temperature and violent crime","volume":"7","author":"Tiihonen","year":"2017","journal-title":"Sci. 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