Results 11 to 20 of about 1,668 (256)
Prostitution Arrest Spatial Forecasting in an Era of Increasing Decriminalization
Urban Science, 2022 There is ongoing debate regarding the merits of decriminalization or outright legalization of commercial sex work in the United States. A few municipalities have officially legalized both the selling and purchasing of sex, while others unofficially ...
Edward Helderop +3 more
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Using Risk Terrain Modeling for the Risk Assessment of Explosive ATM Attacks
Engineering Proceedings, 2023 In this article, we present the use of risk terrain modeling for the risk assessment of explosive ATM attacks in North Rhine-Westphalia, Germany. We give a brief overview of three methods used for this purpose: risk terrain modeling, recapture rate index,
Katharina Schwarz, Kai Seidensticker
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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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Journal of ICT, 2023 Crime forecasting is beneficial as it provides valuable information to the government and authorities in planning an efficient crime prevention measure. Most criminology studies found that influence from several factors, such as social, demographic, and
Alif Ridzuan Khairuddin +2 more
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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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Predicting Dynamical Crime Distribution From Environmental and Social Influences
Frontiers in Applied Mathematics and Statistics, 2018 Understanding how social and environmental factors contribute to the spatio-temporal distribution of criminal activities is a fundamental question in modern criminology.
Simon Garnier +2 more
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OPTIMIZED FEATURES AND DEEP LEARNING BASED CRIME TRENDS PREDICTION
ICTACT Journal on Soft Computing, 2021 Crime Prediction is an effort of determining future crime with the intention of diminishing them. Post-analysis of the data from past events, Crime prediction forecasts the future crime on the basis of time and location.
J Jeyaboopathiraja, G Maria Priscilla
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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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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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IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2017 Motor vehicle theft is a crime that is most common in Indonesia. Growth of vehicle motorcycle significant in each year accompanied by the increasing theft of motorcycles in each year, we need a system that is able to forecast the development and the ...
Pradita Eko Prasetyo Utomo, Azhari SN
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