[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-118743-en":3,"doc-seo-118743-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},118743,1099513958762,"Logic","https://ap-avatar.wpscdn.com/avatar/1000023916a998db790?x-image-process=image/resize,m_fixed,w_180,h_180&k=1784791008015729253",8,"Research & Report","Crime Prediction Using Machine Learning and Deep Learning - A Systematic Review and Future Directions","Crime Prediction Using Machine Learning and Deep Learning consolidates findings from more than 150 research articles to map how machine learning and deep learning methods are applied to forecast criminal activity. The review organizes major algorithms and examines the crime datasets used by prior studies, highlighting patterns, influential trends, and key factors that shape predictive outcomes. It also identifies research gaps and proposes future directions to improve prediction accuracy. The resulting survey supports researchers and helps law enforcement develop more effective prevention and response strategies.","arXiv :2303 . 16310v1 [ cs .LG] 28 Mar 2023  \nCrime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions  \nVarun Mandalapu 1*y, Lavanya Elluri2y, Piyush Vyas2y  \nand Nirmalya Roy 1  \n1* Information Systems, University of Maryland Baltimore County, 1000 Hilltop Cir, Baltimore, 21250, MD, USA.  \n2 Computer Information Systems, Texas A&M UniversityCentral Texas, 1001 Leadership Pl, Killeen, 76549, TX, USA.  \n*Corresponding author(s). E-mail(s): [varunm1@umbc.edu](varunm1@umbc.edu) ; Contributing authors: [elluri@tamuct.edu](elluri@tamuct.edu) ;  \n[piyush.vyas@tamuct.edu](piyush.vyas@tamuct.edu) ; [nroy@umbc.edu](nroy@umbc.edu) ; y These authors contributed equally to this work.  \nAbstract  \nPredicting crime using machine learning and deep learning techniques has gained considerable attention from researchers in recent years, focusing on identifying patterns and trends in crime occurrences. This review paper examines over 150 articles to explore the various machine learning and deep learning algorithms applied to predict crime. The study provides access to the datasets used for crime prediction by researchers and analyzes prominent approaches applied in machine learning and deep learning algorithms to predict crime, o􀀋ering insights into different trends and factors related to criminal activities. Additionally, the paper highlights potential gaps and future directions that can enhance the accuracy of crime prediction. Finally, the comprehensive overview of research discussed in this paper on crime prediction using machine learning and deep learning approaches serves as a valuable reference for researchers in this 􀀌eld. By gaining a deeper understanding of crime prediction techniques, law enforcement agencies can develop strategies to prevent and respond to criminal activities more e􀀋ectively.  \nKeywords: crime prediction, crime datasets, deep learning, machine learning.  \n2  \n1 Introduction  \nCrime prediction is a complex problem requiring advanced analytical tools to e􀀋ectively address the gaps in existing detection mechanisms. With the increasing availability of crime data and through the advancement of existing technology, researchers were provided with a unique opportunity to study and research crime detection using machine learning and deep learning methodologies. Based on the recent advances in this 􀀌eld [1][2][3], this article will explore current trends in machine learning and deep learning for crime prediction and discuss how these cutting-edge technologies are being used to detect criminal activities, predict crime patterns, and prevent crime. Our primary goal is to provide a comprehensive overview of recent advancements in this 􀀌eld and contribute to future research e􀀋orts.  \nMachine learning is a subset of arti􀀌cial intelligence that uses statistical models and algorithms to analyze and make predictions based on data. On the other hand, deep learning is a subset of machine learning that uses arti􀀌cial neural networks with multiple layers to model complex relationships between inputs and outputs [4] . Both machine learning and deep learning technologies have the potential to be applied to the problem of crime prediction in many ways.  \nMachine learning algorithms have been utilized in crime prediction to analyze crime data and predict future crime patterns. For example, algorithms like decision trees, random forests, and support vector machines have been trained on crime data from speci􀀌c cities to predict crime patterns accurately [5] . Apart from predicting crime patterns, these algorithms can provide valuable insights into crime trends and patterns. These capabilities allow for deploying resources and tactics to combat crime e􀀋ectively. Additionally, machine learning algorithms can also be used to identify correlations between crime incidentsand various environmental and demographic factors such as location, weather, and time of day [6] . This information can be used to devel","cbCain5oM6CuJYiS","https://ap.wps.com/l/cbCain5oM6CuJYiS","pdf",2000882,1,35,"English","en",105,"# Introduction\n## Machine Learning vs Deep Learning\n## Applications of Machine Learning in Crime Prediction\n## Predictive Policing\n## Applications of Deep Learning in Crime Prediction","[{\"question\":\"What is the focus of the systematic review on crime prediction?\",\"answer\":\"The review surveys how machine learning and deep learning algorithms are used to predict crime, including the datasets and approaches reported in more than 150 articles.\"},{\"question\":\"How do machine learning and deep learning relate in crime prediction?\",\"answer\":\"Machine learning uses statistical models to learn from data, while deep learning uses multi-layer neural networks to capture complex relationships—both can be applied to crime prediction tasks.\"},{\"question\":\"What are some applications mentioned for these techniques?\",\"answer\":\"The document highlights applications such as predictive policing, hotspot and incident forecasting, and deep learning for computer vision and video surveillance analysis.\"}]","Crime Prediction Using Machine Learning and Deep Learning - A Systematic Review and Future Directions | PDF",1785720016,88,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"crime-prediction-using-machine-learning-and-deep-learning-a-systematic-review-and-future-directions","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/crime-prediction-using-machine-learning-and-deep-learning-a-systematic-review-and-future-directions/118743/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-03",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What is the focus of the systematic review on crime prediction?","Question",{"text":75,"@type":76},"The review surveys how machine learning and deep learning algorithms are used to predict crime, including the datasets and approaches reported in more than 150 articles.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How do machine learning and deep learning relate in crime prediction?",{"text":80,"@type":76},"Machine learning uses statistical models to learn from data, while deep learning uses multi-layer neural networks to capture complex relationships—both can be applied to crime prediction tasks.",{"name":82,"@type":73,"acceptedAnswer":83},"What are some applications mentioned for these techniques?",{"text":84,"@type":76},"The document highlights applications such as predictive policing, hotspot and incident forecasting, and deep learning for computer vision and video surveillance analysis.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]