Results 11 to 20 of about 880 (140)
Crime Mapping in GIS By Using Hotspot
Sukkur IBA Journal of Computing and Mathematical Sciences, 2018 Police forces use hotspot mapping to provide a single out towards to resource allocation, ensuring police officers are post to areas of high crime where their existence will have the most smash.
Syeda Ambreen Zahra
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Initial evidence on the relationship between the coronavirus pandemic and crime in the United States
Crime Science, 2020 The COVID-19 pandemic led to substantial changes in the daily activities of millions of Americans, with many businesses and schools closed, public events cancelled and states introducing stay-at-home orders.
Matthew P. J. Ashby
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Big Data & Society, 2021 Predictive policing has become a new panacea for crime prevention. However, we still know too little about the performance of computational methods in the context of predictive policing.
Jens Hälterlein
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Development of a model for predicting money laundering rate
Вестник университета, 2022 The article suggests model for predicting the level of money laundering on the basis of data from the Ministry of Internal Affairs of the Russian Federation on the state of economic crime in Russia since the beginning of 2011.
E. S. Anisimov, J. M. Beketnova
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Money laundering rate modelling
Вестник университета, 2023 The article continues the analysis of the work of the model developed by the authors of forecasting money laundering rate. The purpose of the study is to compare the results of the forecast with the actual data. Authors used official data by the Ministry
J. M. Beketnova, E. S. Anisimov
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DEMOGRAPHIC TRENDS AND CRIME IN THE PROVINCE OF ALBERTA
International Journal of Child, Youth & Family Studies, 2013 We present forecasts of crime rates in the Province of Alberta, Canada for the decade 2010 to 2020. The results suggest that rates of all types of crime in the province will drop between 2010 and 2020, largely because of the aging of the population.
Gillian Stevens +3 more
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FORECASTING THE RISK OF MONEY LAUNDERING THROUGH FINANCIAL INTERMEDIARIES
Фінансово-кредитна діяльність: проблеми теорії та практики, 2021 . The increase in international trade, the active development of integration and convergence processes in the global financial market, the rapid implementation of digital technologies in various spheres of life, as well as the growth of cross-border ...
S.V. Lyeonov +5 more
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Forecasting Crime with Deep Learning
CoRR, 2018 The objective of this work is to take advantage of deep neural networks in order to make next day crime count predictions in a fine-grain city partition. We make predictions using Chicago and Portland crime data, which is augmented with additional datasets covering weather, census data, and public transportation.
Alexander Stec, Diego Klabjan
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Forecasting Crime Using ARIMA Model
CoRR, 2020 Data mining is the process in which we extract the different patterns and useful Information from large dataset. According to London police, crimes are immediately increases from beginning of 2017 in different borough of London. No useful information is available for prevent crime on future basis.
Khawar Islam, Akhter Raza
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CRIME FORECASTING AND METHODS OF IMPLEMENTATION
Review of Law Sciences, 2023 The article reveals the history of the development of forecasting, the concept of forecasting, scientific forecasting, the importance of forecasting in criminology, including other sciences, the essence, features, and differentiation of criminological forecasting, its tasks, goals, and types, which include crime in general, but also the concept of ...
Kumrinisa Abdurasulova, Raziya Buranova
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