Results 21 to 30 of about 2,461 (194)

Epistemologies of predictive policing: Mathematical social science, social physics and machine learning

open access: yesBig 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
doaj   +1 more source

Forecasting Crime Using ARIMA Model

open access: yesCoRR, 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
openaire   +2 more sources

CRIME FORECASTING AND METHODS OF IMPLEMENTATION

open access: yesReview 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
openaire   +1 more source

Support vector machine to criminal recidivism prediction [PDF]

open access: yesInternational Journal of Electronics and Telecommunications
Internal security of the state is one of the prerequisites for sustainable development. To ensure the public safety and personal security of citizens, it is necessary to develop effective measures to reduce crime and prevent crime in the future.
Olha Kovalchuk   +3 more
doaj   +1 more source

Predicting density of serious crime incidents using a Multiple-Input Hidden Markov Maximization a posteriori model

open access: yesMachine Learning with Applications, 2022
Accurately predicting the displacement of crime from a given state such as cold to another state such as warm or hot, facilitates the efficient allocation of resources and the mitigation of crime threats.
Devon L. Robertson, Wayne A. Goodridge
doaj   +1 more source

Local deprivation predicts right-wing hate crime in England.

open access: yesPLoS ONE, 2023
We argue that community deprivation can increase the risk of right-wing radicalization and violent attacks and that measures of local deprivation can help improve forecasting local hate crime rates.
Margherita Belgioioso   +2 more
doaj   +1 more source

Incorporating Survey Perceptions of Public Safety and Security Variables in Crime Rate Analyses for the Visegrád Group (V4) Countries of Central Europe

open access: yesSocieties, 2022
Public governance has evolved in terms of safety and security management, incorporating digital innovation and smart-analytics-based tools to visualize abundant data collections. Urban safety and security are vital social problems that have many branches
Usman Ghani, Peter Toth, Dávid Fekete
doaj   +1 more source

THE IMPACT OF THE CRIME RATE ON THE HOSPITALITY AND TOURISM INDUSTRY IN THE EU COUNTRIES [PDF]

open access: yesGeo Journal of Tourism and Geosites, 2023
Tourism is the largest service industry in the world. The direct and reverse relationship between crime and tourism significantly affects the economy, society and individuals.
Rostyslav SHCHOKIN   +5 more
doaj   +1 more source

Comparing Machine Learning-Based Crime Hotspots Versus Police Districts: What’s the Best Approach for Crime Forecasting?

open access: yesIEEE Access
Criminal activity poses a significant challenge in urban environments, impacting public safety, economic stability, and overall quality of life. As a result, the efficient allocation of public security resources based on spatio-temporal crime prediction ...
Eugenio Cesario   +2 more
doaj   +1 more source

Rotational grid, PAI‐maximizing crime forecasts

open access: yesStatistical Analysis and Data Mining: The ASA Data Science Journal, 2018
Crime forecasts are sensitive to the spatial discretizations on which they are defined. Furthermore, while the Predictive Accuracy Index (PAI) is a common evaluation metric for crime forecasts, most crime forecasting methods are optimized using maximum likelihood or other smooth optimization techniques. Here we present a novel methodology that jointly (
George O. Mohler, Michael D. Porter
openaire   +3 more sources

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