Results 11 to 20 of about 44,461 (259)
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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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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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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A systematic review on spatial crime forecasting [PDF]
Crime Science, 2020 Abstract Background Predictive policing and crime analytics with a spatiotemporal focus get increasing attention among a variety of scientific communities and are already being implemented as effective policing tools. The goal of this paper is to provide an overview and evaluation of the state of the art in spatial crime forecasting focusing on study ...
Ourania Kounadi +3 more
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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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(Looking) Back to the Future: using space-time patterns to better predict the location of street crime [PDF]
, 2009 Crime analysts attempt to identify regularities in police recorded crime data with a central view of disrupting the patterns found. One common method for doing so is hotspot mapping, focusing attention on spatial clustering as a route to crime reduction (
Tompson, L, Townsley, M
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FORECASTING QUARTERLY AGGREGATE CRIME SERIES* [PDF]
The Manchester School, 2005 In this paper we assess the forecasting performance of quarterly economic models of aggregate property and personal crime. We show that models that include long-run relationships between crime and its economic determinants tend to generate inaccurate forecasts, and attribute this to structural change.
MICHAEL P. CLEMENTS, ROBERT WITT
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Making Progress in Forecasting [PDF]
, 2006 Twenty-five years ago, the International Institute of Forecasters was established “to bridge the gap between theory and practice.” Its primary vehicle was the Journal of Forecasting and is now the International Journal of Forecasting.
Armstrong, J. Scott, Fildes, Robert
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A simple crime hotspot forecasting algorithm [PDF]
Annals of Computer Science and Information Systems, 2020 Crime hotspot forecasting is an important part of crime prevention and reducing the delay between a 911 call and the physical intervention. Current developments in the field focus on enriching the historical data and sophisticated point process analysis methods with a fixed grid.
Robert Bogucki +2 more
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