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Feminist Criminology, 2009
The current research tests the vulnerability, disorder, and social integration models to determine their relative predictive capacity across separate female and male citizen samples on fear of crime. Although previous literature typically includes gender as a control variable, the present analysis goes beyond this to determine whether the models ...
Cortney A. Franklin, Travis W. Franklin
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The current research tests the vulnerability, disorder, and social integration models to determine their relative predictive capacity across separate female and male citizen samples on fear of crime. Although previous literature typically includes gender as a control variable, the present analysis goes beyond this to determine whether the models ...
Cortney A. Franklin, Travis W. Franklin
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Police Practice and Research, 2014
Geographic Information Systems (GIS) have emerged as a key tool in intelligence-led policing and spatial predictions of crime are being used by many police services to reduce crime. Break and entries (BNEs) are one of the most patterned and predictable crime types, and may be particularly amendable to predictive crime mapping.
J. Fitterer, T.A. Nelson, F. Nathoo
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Geographic Information Systems (GIS) have emerged as a key tool in intelligence-led policing and spatial predictions of crime are being used by many police services to reduce crime. Break and entries (BNEs) are one of the most patterned and predictable crime types, and may be particularly amendable to predictive crime mapping.
J. Fitterer, T.A. Nelson, F. Nathoo
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2020
The work implemented here is crime prediction system (CPS). We first created hypothetical datasets samples of major city areas and different crimes taking place and then we used the algorithms to analyze it. We used HTML and CSS along with PHP, while wamp as a Web server to this application.
Somula Ramasubbareddy +3 more
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The work implemented here is crime prediction system (CPS). We first created hypothetical datasets samples of major city areas and different crimes taking place and then we used the algorithms to analyze it. We used HTML and CSS along with PHP, while wamp as a Web server to this application.
Somula Ramasubbareddy +3 more
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Data Analysis in Predicting Crime : Predictive Policing
2021 16th Iberian Conference on Information Systems and Technologies (CISTI), 2021Crime is a constant in our society. Even though there is a huge amount of data available about crime it is hard to find the best solution to prevent it. However, through analysis of historical crime data it is possible to predict the risk of crime in time and space.
Aline Carvalho, Isabel Pedrosa
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Modeling and analysis of crime prediction and prevention
Social Network Analysis and Mining, 2020Crime and corruptions are two major problems in developing nations. They spread like infectious disease in the population. Here, a nonlinear mathematical model is formulated and analyzed to study the interaction between criminal population and non-criminal population by considering non-monotone incidence rate.
Akhil Kumar Srivastav +2 more
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Area-Specific Crime Prediction Models
2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), 2016The convergence of public data and statistical modeling has created opportunities for public safety officials to prioritize the deployment of scarce resources on the basis of predicted crime patterns. Current crime prediction methods are trained using observed crime and information describing various criminogenic factors.
Mohammad Al Boni, Matthew S. Gerber
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Crime prediction using patterns and context
2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2017Science fiction had anticipated the prediction of future occurrence of crimes. In fact, that prediction is actually possible. It can be done with some imprecision and by computer algorithms using available data from various sources. The prediction involves approximate time and risk maps of occurrence of certain type of felonies such as home burglaries,
Nelson Baloian +9 more
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International Review of Victimology, 2013
Criminologists have indicated that gender is one of the strongest predictors of fear of crime. The leading explanation for gender differences in fear of crime levels is the shadow of sexual assault hypothesis, claiming that women’s fear of sexual assault is one of the most salient factors influencing their fear of other crimes.
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Criminologists have indicated that gender is one of the strongest predictors of fear of crime. The leading explanation for gender differences in fear of crime levels is the shadow of sexual assault hypothesis, claiming that women’s fear of sexual assault is one of the most salient factors influencing their fear of other crimes.
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2019
Crime prevention and resolution strategies depend on having the right crime team available in the right place and at the right time. Therefore, it is important to know where, when and under what conditions a specific crime type typically occurs. The goal of our current research is to identify the spatial, temporal, weather and event features most often
Hanan AL Mansour, Michele Lundy
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Crime prevention and resolution strategies depend on having the right crime team available in the right place and at the right time. Therefore, it is important to know where, when and under what conditions a specific crime type typically occurs. The goal of our current research is to identify the spatial, temporal, weather and event features most often
Hanan AL Mansour, Michele Lundy
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Exploring Transfer Learning for Crime Prediction
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 2017Crime prediction plays a crucial role in addressing crime, violence, conflict and insecurity in cities to promote good governance, appropriate urban planning and management. Plenty efforts have been made on developing crime prediction models by leveraging demographic data, but they failed to capture the dynamic nature of crimes in urban. Recently, with
Xiangyu Zhao 0001, Jiliang Tang
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