{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/crime-prediction-based-on-crime-types-and","title":"Crime Prediction Based On Crime Types And Using Spatial And Temporal Criminal Hotspots","arxiv_id":"1508.02050","date":"2015-08-09","proceeding":null,"authors":["Tahani Almanie","Rsha Mirza","Elizabeth Lor"],"abstract":"This paper focuses on finding spatial and temporal criminal hotspots. It\nanalyses two different real-world crimes datasets for Denver, CO and Los\nAngeles, CA and provides a comparison between the two datasets through a\nstatistical analysis supported by several graphs. Then, it clarifies how we\nconducted Apriori algorithm to produce interesting frequent patterns for\ncriminal hotspots. In addition, the paper shows how we used Decision Tree\nclassifier and Naive Bayesian classifier in order to predict potential crime\ntypes. To further analyse crimes datasets, the paper introduces an analysis\nstudy by combining our findings of Denver crimes dataset with its demographics\ninformation in order to capture the factors that might affect the safety of\nneighborhoods. The results of this solution could be used to raise awareness\nregarding the dangerous locations and to help agencies to predict future crimes\nin a specific location within a particular time.","url_abs":"http://arxiv.org/abs/1508.02050v1","url_pdf":"http://arxiv.org/pdf/1508.02050v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"crime-prediction-based-on-crime-types-and","repo_url":"https://github.com/agrawalsam/Crime_Prediction","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"crime-prediction","task_name":"Crime Prediction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}