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Where Are We? Using Scopus to Map the Literature at the Intersection Between Artificial Intelligence and Research on Crime
Campedelli, Gian Maria - 2020
also applies to crime-related research problems. Nonetheless, studies that map the current state of the art at the … intersection between AI and crime are lacking. What are the current research trends in terms of topics in this area? What is the … Scopus database, this work quantitatively analyzes 692 published works at the intersection between AI and crime employing …
Persistent link: https://www.econbiz.de/10012845452
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Machine Learning and Deep Learning Integrated Model to Predict, Classify and Analyze Crime in Indore City
Singh Bhati, Vikramaditya - 2019
In this paper, we proposed an approach to predict, classify and analyse crime in Indore city from multiple data sources … problem of crime. While previous research efforts approach the issue with Statistical Models, our findings support an … predict crime in Indore. Using our experimental approach with crime data from Indore police we can achieve an accuracy of …
Persistent link: https://www.econbiz.de/10012889317
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Machine Learning Predictive Algorithms and the Policing of Future Crimes : Governance and Oversight
Oswald, Marion - 2019
This chapter focuses upon machine learning algorithms within police decision-making in England and Wales, specifically in relation to predictive analytics. It first reviews the state of the art regarding the implementation of algorithmic tools underpinned by machine learning to aid police...
Persistent link: https://www.econbiz.de/10012860152
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Machine Learning Can Predict Shooting Victimization Well Enough to Help Prevent It
Heller, Sara B.; Jakubowski, Benjamin; Jelveh, Zubin; … - National Bureau of Economic Research - 2022
This paper shows that shootings are predictable enough to be preventable. Using arrest and victimization records for almost 644,000 people from the Chicago Police Department, we train a machine learning model to predict the risk of being shot in the next 18 months. We address central concerns...
Persistent link: https://www.econbiz.de/10013334389
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Gotham city : predicting ‘corrupted’ municipalities with machine learning
De Blasio, Guido; D'Ignazio, Alessio; Letta, Marco - In: Technological forecasting & social change : an … 184 (2022), pp. 1-21
Persistent link: https://www.econbiz.de/10013547888
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Introducing a new, machine learning process, and online tools for conducting sales literature reviews : an application to the forty years of JPSSM
Kitanaka, Hideaki; Kwiatek, Piotr; Panagopoulos, Nikolaos G. - In: Journal of personal selling & sales management : JPSSM 41 (2021) 4, pp. 351-368
Persistent link: https://www.econbiz.de/10012695217
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Computational literature reviews : method, algorithms, and roadmap
Antons, David; Breidbach, Christoph F.; Joshi, Amol M.; … - In: Organizational research methods : ORM 26 (2023) 1, pp. 107-138
Persistent link: https://www.econbiz.de/10014245743
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Predicting corporate failure : a systematic literature review of methodological issues
Appiah, Kingsley Opoku; Chizema, Amon; Arthur, Joseph - In: International journal of law and management : IJLMA 57 (2015) 5, pp. 461-485
Persistent link: https://www.econbiz.de/10011453529
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A systematic literature review of data science, data analytics and machine learning applied to healthcare engineering systems
Salazar-Reyna, Roberto; Gonzalez-Aleu, Fernando; … - In: Management decision 60 (2022) 2, pp. 300-319
Persistent link: https://www.econbiz.de/10013162823
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Applications of machine learning methods in port operations : a systematic literature review
Filom, Siyavash; Amiri, Amir M.; Razavi, Saiedeh - In: Transportation research / E : an international journal 161 (2022), pp. 1-30
Persistent link: https://www.econbiz.de/10013275940