skip to main content
department
Free Access

Policing the future

Published:01 March 2012Publication History
Skip Abstract Section

Abstract

Computer programs and new mathematical algorithms are helping law enforcement agencies better predict when and where crimes will occur.

References

  1. Beck, C. and McCue, C. Predictive policing: What we can learn from Wal-Mart and Amazon about fighting crime during a recession. The Police Chief 76, 11, Nov. 2009.Google ScholarGoogle Scholar
  2. Malek, M. Predictive algorithms and technologies for availability enhancement, Lecture Notes in Computing Science 5017, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Mills, E. An ounce of prevention, Law Enforcement Technology 36, 9, Sept. 2009.Google ScholarGoogle Scholar
  4. Short, M.B., D'Orsogna, M.R., Pasour, G.E., Brantingham, P.J., Bertozzi, A.L., and Chayes, L.B. A statistical model of criminal behavior, Mathematical Models and Methods in Applied Sciences 18, Suppl., 2008.Google ScholarGoogle Scholar
  5. Stomakhin, A., Short, M.B., and Bertozzi, A.L. Reconstruction of missing data in social networks based on temporal patterns of interactions, Inverse Problems 27, 11, Nov. 2011.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Policing the future

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in

        Full Access

        • Published in

          cover image Communications of the ACM
          Communications of the ACM  Volume 55, Issue 3
          March 2012
          106 pages
          ISSN:0001-0782
          EISSN:1557-7317
          DOI:10.1145/2093548
          Issue’s Table of Contents

          Copyright © 2012 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 1 March 2012

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • department
          • Popular
          • Un-reviewed

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader

        HTML Format

        View this article in HTML Format .

        View HTML Format