Crime Analysis and Prediction
Abstract
Crime is an act committed or omitted in violation of a law forbidding or commanding it and for which punishment is imposed upon conviction. Crime analysis is a function based on law enforcement that involves systematic analysis for analyze and identifying trend in crime. The information and patterns help law enforcement agencies to locate in a more effective manner and assist detectives in identifying and apprehending suspects. This paper proposes a solution for future crime prediction. Crime analysis includes looking at the data from two different dimensions—spatial and temporal. Spatial dimension involves observing the characteristics of a particular region along with its neighbors. Temporal dimension involves observing the characteristics of a particular region over time.
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Walter L. Perry, Brian McInnis, Carter C. Price, Susan C. Smith, John S. Hollywood : “Predictive Policing “.2013 .Library of Congress Cataloging-in-Publication .ISBN: 978-0-8330-8148-3
Jonathan J. Corcoran, Ian D. Wilson, J. Andrew Ware : “Predicting the geo-temporal variations of crime and disorder” International Journal of Forecasting 19 .2003
AG Ferguson:” Predictive Policing and Reasonable Suspicion” Emory LJ, 2012
Eck, J., Chainey, S., Cameron, J., Leitner, M., Wilson, R.: “Mapping crime: Under-standing hot spots”.2005
Leslie W. Kennedy , Joel M. Caplan , Eric Piza : “Risk Clusters, Hotspots, and Spatial Intelligence: Risk Terrain Modeling as an Algorithm for Police Resource Allocation Strategies” Springer, 2011
Anthony A. Braga,: “Police Enforcement Strategies to Prevent Crime in Hot Spot Areas” Washington, D.C.: U.S. Department of Justice Office of Community Oriented Policing Services, 2008. ISBN: 978-1-935676-37-9
STEPHEN D. MASTROFSKI,ROBERT E. WORDEN,JEFFREY B. SNIPES “LAW ENFORCEMENT IN A TIME OF COMMUNITY POLICING” Wiley Online Library,2006
Rich Caruana, Alexandru Niculescu-Mizil “Data Mining in Metric Space: An Empirical Analysis of Supervised Learning Performance Criteria” ACM Digital Library 2004.
J. B. Kruskal: Multidimensional scaling by optimizing goodness of fit to a no metric hypothesis. Springer.1964
Chainey, S., Tompson, L., Uhlig, S.: The utility of hotspot mapping for predicting spatial patterns of crime. Security Journal 21, 428.2008
Mohler, G.O., Short, M.B., Brantingham, P.J., Schoenberg, F.P., Tita, G.E.: Self- exciting point process modeling of crime. Journal of the American Statistical As-sociation 106(493), 108 .March 2011
Myfanwy Lloyd Jones: Data Extraction.
Yifei Ren: “DATA PREPROCESSING FOR DATA MINING”theseus.fi .2013
Jiawei Han “Data mining concept and technique” academia.edu,2006.
Glenn De'ath: Multivariate Regression Trees: A New Technique for Modeling Species-Environment Relationships Journal of Ecology, Vol. 83, No. 4. Apr., 2002.
Cameron, A. C., and Trivedi, P. K. Regression Analysis of Count Data, Cambridge University Press, Cambridge,1998.
EL Piza “Using Poisson and Negative Binomial Regression Models to Measure the Influence of Risk on Crime Incident Counts” Rutgerscps,2012.
Wayne Osgood: “Poisson-Based Regression Analysis of Aggregate Crime Rates” Journal of Quantitative Criminology, Vol. 16, No. 1, 2000.
S. Chatterjee, Ali S. Hadi “Regression analysis by example” Mathematical Association of America, 2013.
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