Results 11 to 20 of about 2,461 (194)
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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Big data analytics and smart cities: applications, challenges, and opportunities
Frontiers in Big Data, 2023 Urban environments continuously generate larger and larger volumes of data, whose analysis can provide descriptive and predictive models as valuable support to inspire and develop data-driven Smart City applications.
Eugenio Cesario
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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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Methodology for crime forecasting.
, 2022 Methodology for crime forecasting.
Tieng Wei Koh (13751576) +3 more
core +1 more source
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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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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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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