Results 151 to 160 of about 2,461 (194)

Time Series Analysis and Crime Pattern Forecasting of City Crime Data

Proceedings of the 1st International Conference on Algorithms, Computing and Systems, 2017
Crime analysis using data mining techniques have been a possible solution to aid law enforcement officers to mitigate crime related problems. In this paper, a geospatial data analysis was conducted for detecting the hotspots of criminal activities in Manila City, Philippines.
Charlie S. Marzan, Maria Jeseca C. Baculo, Remedios de Dios Bulos, Conrado R. Ruiz Jr.   +3 more
openaire   +2 more sources

Flag and boost theories for hot spot forecasting: An application of NIJ’s Real-Time Crime forecasting algorithm using Colorado Springs crime data

International Journal of Police Science and Management, 2020
By operationalizing two theoretical frameworks, we forecast crime hot spots in Colorado Springs. First, we use a population heterogeneity (flag) framework to find places where the hot spot forecasting is consistently successful over months.
Yongjei Lee, Soohyun O
exaly   +2 more sources

A Theory-Driven Algorithm for Real-Time Crime Hot Spot Forecasting

Police Quarterly, 2020
Real-time crime hot spot forecasting presents challenges to policing. There is a high volume of hot spot misclassifications and a lack of theoretical support for forecasting algorithms, especially in disciplines outside the fields of criminology and ...
Yongjei Lee
exaly   +2 more sources

Comparative Study on Artificial Intelligence Techniques in Crime Forecasting

Applied Mechanics and Materials, 2019
An application of efficient crime analysis is beneficial and helpful to understand the behavior of trend and pattern of crimes. Crime forecasting is an area of research that assists authorities in enforcing early crime prevention measures.
Harun, Habibollah, Khairuddin, Alif Ridzuan, Alwee, Razana   +2 more
exaly   +2 more sources

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Forecasting Future Crime Rates

Journal of Contemporary Criminal Justice, 2023
Despite its importance for testing criminological theories and informing crime control policy, forecasting crime rates has all but disappeared from criminology. We argue for a resurgence of crime forecasting in the study of crime trends. As an example of the value, as well as the challenges, of forecasting, we engage in a forecasting exercise based on ...
Richard Rosenfeld, Mark Berg
openaire   +1 more source

Crime and reactions to crime in 34 Swedish birth cohorts: from historical descriptions to forecasting the future

Nordic Journal of Criminology, 2014
This article analyses 34 Swedish birth cohorts with regard to their participation in crime as measured by data from the convictions database maintained by Statistics Sweden. Most existing cohort studies are limited to one or a few cohorts.
Hanns Von Hofer
exaly   +2 more sources

Forecasting Crimes Using Autoregressive Models

2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), 2016
As a result of steadily increasing urbanization, by 2030 more than sixty percent of the global population will live in cities. This phenomenon is stimulating significant economic and social transformations, both positive (such as, increased opportunities offered in urban areas) and negative (such as, increased crime and pressures on city budgets ...
Cesario E., Catlett C., Talia D.
openaire   +3 more sources

Crime forecasters

Science, 2016
Police are turning to big data to stop crime before it happens. But is predictive policing biased—and does it even work?
openaire   +2 more sources

Forecasting Crime Occurrence

2021
This chapter suggests that the theory of convenience can be applied in forecasting white-collar crime probability in organizations. Three discrete levels represent the probability for white-collar crime occurrence in the organization. Level one has the green color with zero to one-third likelihood of crime (probability of 0%–33%).
openaire   +1 more source

Analysis of Crime Rates in Rizal Province using Crime Forecasting Models

Proceedings of the 2020 the 3rd International Conference on Computers in Management and Business, 2020
Crime is one of the major problems of countries all over the world, and the Philippines is no exception. Crime prediction and prevention strategies are vital for police forces to face inevitable increases in the crime rate as a side effect of the growth of the urban population.
Eugenia R. Zhuo, Jake Libed
openaire   +1 more source