Results 91 to 100 of about 880 (140)

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.
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Forecasting Crime

2018
Organizations in the private sector must do strategic planning over long-term horizons to locate new facilities, plan new products, develop competitive advantages, and so forth. Consequently, long-term forecasts of demand, costs of raw materials, etc. are important in the private sector.
Gorr, Wilpen, Olligschlaeger, Andreas M., Szczypula, Janusz, Thompson, Yvonne   +3 more
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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?
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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%).
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Forecasting Crime Using the ARIMA Model

2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
In this paper, time series model of ARIMA is used to make short-term forecasting of property crime for one city of China. With the given data of property crime for 50 weeks, an ARIMA model is determined and the crime amount of 1 week ahead is predicted. The modelpsilas fitting and forecasting results are compared with the SES and HES.
Peng Chen, Hongyong Yuan, Xueming Shu
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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
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Climatological conditions and crime: The forecast is…?

Justice Quarterly, 1988
A common question among both academicians and practitioners concerns the relationship between the weather and crime. Although early researchers, including Durkheim, introduced climatological factors in their discussions of human behavior and deviance, contemporary criminology tends to ignore these factors as possible contributors to changes in crime ...
Steven P. Lab, J. David Hirschel
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Adaptive Matrix Model for a Crime Forecasting Task

2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP), 2020
In the police activities of any country, there are two major directions: identifying signs of crime preparation and preventing its commission (prediction), as well as crime prevention by eliminating the conditions for its commission (prevention). At the same time, various theories are explaining that the place and time of the crime occur at random, and
Dmytro Uzlov, Sergiy Popov, Oleksii Vlasov, Yevgeniy V. Bodyanskiy   +3 more
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Short-term forecasting of crime

International Journal of Forecasting, 2003
Abstract The major question investigated is whether it is possible to accurately forecast selected crimes 1 month ahead in small areas, such as police precincts. In a case study of Pittsburgh, PA, we contrast the forecast accuracy of univariate time series models with naive methods commonly used by police. A major result, expected for the small-scale
Wilpen Gorr, Andreas Olligschlaeger, Yvonne Thompson   +2 more
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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
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