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Electronic coverage as of Jan. 12, 2011: 2006-; Vol. for 2006 published as part of: Annual report / Crime Victims Section.; Vol. for 2007-2008 issued by the Ohio Victims of Crime Compensation Program, Crime Victims Compensation Section; v.
Ohio Victims of Crime Compensation Program.
core +9 more sources
Hate Crime in Suffolk: Understanding prevalence and support needs [PDF]
This research project was commissioned by the Suffolk Hate Crime Partnership with funding allocated to them from the Ministry of Justice. The aim of the project was to provide independent evidence of: the prevalence of Hate Crime in Suffolk; and the ...
Suffolk Police +6 more
core +3 more sources
Development of a model for predicting money laundering rate
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
doaj +1 more source
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
doaj +1 more source
Money laundering rate modelling
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
doaj +1 more source
Initial evidence on the relationship between the coronavirus pandemic and crime in the United States
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
doaj +1 more source
DEMOGRAPHIC TRENDS AND CRIME IN THE PROVINCE OF ALBERTA
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
doaj +1 more source
FORECASTING THE RISK OF MONEY LAUNDERING THROUGH FINANCIAL INTERMEDIARIES
. 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
doaj +1 more source
CRIME FORECASTING AND METHODS OF IMPLEMENTATION
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
openaire +1 more source
Forecasting Crime Using ARIMA Model
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
openaire +2 more sources

