U.S. flag
      An official website of the United States government, Department of Justice.
        Here's how you know
      Here's how you know**Official websites use .gov**
            
            A **.gov** website belongs to an official government organization in the United States.
      **Secure .gov websites use HTTPS**
            
            A **lock** (
            A locked padlock
            ) or **https://** means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites. Menu

      
        close

            
            
                                              About NIJ
        
                    
  
          About NIJ
      
    
          The NIJ Director
          How NIJ Is Organized
          Mission and Guiding Principles
          Research and Development Process
          Strategic Framework
          Assessments of NIJ
          Annual Reports & Reports to Congress
          Staff Directory
          Funding & Awards
        
                    
  
          Funding & Awards
      
    
          Current Funding
          Forthcoming Funding
          Expired Funding
          Awards: Listing of Funded Projects
          Guidance for Applicants and Awardees
          Fellowship & Student Programs
          Travel Scholarships
          NIJ Challenge Program
          Library & Multimedia
        
                    
  
          Library & Multimedia
      
    
          NIJ Journal
          Podcasts
          Publications Listing
          Multimedia Listing
          Rated Practices on CrimeSolutions
          Rated Programs on CrimeSolutions
          Software & Databases
          Datasets
          Patents
          Topics
        
                    
  
          Topics
      
    
          Article Listing
          Corrections
          Courts
          Crime Prevention
          Crimes
          Drugs and Crime
          Equipment and Technology
          Forensic Sciences
          Youth Justice
          Justice System Reform
          Law Enforcement
          Tribal Crime and Justice
          Victims of Crime
          Events
        
                    
  
          Events
      
    
          NIJ 2024 Research Conference
          Scheduled Events
          On-Demand Events
          Research Meetings & Workshops
          NIJ-Hosted Online Training

                            
                                About
          Contact Us
          Subscribe
          Topics A-Z
                  Share
FacebookXLinkedInRedditPinterestEmail Home
                            Library & Multimedia
 Pattern Recognition in Large Police Crime Data Sets
NCJ Number
              177222

Author(s)
          T O'Shea;
                        T Muscarello
Date Published

1997
Length
              15 pages
Annotation
              Since police departments began to keep records of criminal incidents, they have attempted to put this information to strategic and tactical use and pattern discrimination within the crime data set has always been at the heart of crime analysis.
Abstract
              A pattern refers to an individual or a group of individuals who are characterized by the fact that they commit a series of criminal offenses over an extended period of time. Additionally, these individuals choose a particular crime category and habitually execute the same method of operation through a series of separate criminal incidents. Pattern recognition methods of experienced robbery detectives in the Chicago Police Department, specifically artificial neural networks and cluster analysis, are examined. Neural networks are systems that seek via hardware or software to simulate the architecture and working of the human brain. These networks are adept at finding patterns in historical data that can be used for predictive or forecasting purposes. Neural nets must be trained to identify patterns before they can be used to recognize or categorize unknown patterns. Two basic modes of learning associated with neural networks are supervised and unsupervised. Supervised learning procedures have achieved a reputation for producing good results in practical applications and represent the most commonly used learning algorithm. Cluster analysis refers to a range of multivariate statistical procedures, and the method seeks to group cases according to similarities in their defining characteristics. Automated techniques to facilitate the use of cluster analysis specifically and pattern recognition generally are briefly described. 1 note and 2 exhibits
      
  
          Additional Details
Grant Number(s)
        95-IJ-CX-0082


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Publication Type
        Report (Study/Research)
    
  
  
Date Published: January 1, 1997
    
          Downloads
        
                      *No download available*

Side navigation
  

        

  
  
              NIJ Journal
    
      
            
            
            
      Podcasts
    
      
            
            
            
      Publications Listing
    
      
            
            
            
      Multimedia Listing
    
      
            
            
            
      Rated Practices on CrimeSolutions
    
      
            
            
            
      Rated Programs on CrimeSolutions
    
      
            
            
            
      Software & Databases
    
      
            
            
            
      Datasets
    
      
            
            
            
      PatentsRelated Topics
        
                Automated police information systems
        Computer aided operations
        Crime analysis
        Crime patterns
        Crime prediction



  
Similar Publications
        
                      Mass Spectrometry Imaging of Latent Fingerprints Using Titanium Oxide Development Powder as an Existing Matrix
                  GC-MS Studies on the Regioisomeric Methoxy-Methyl-Phenethylamines Related to MDEA MDMMA and MBDB
                  A Comparison of the Effects of PCR Inhibition in Quantitative PCR and Forensic STR Analysis
 Top

      National Institute of Justice

        
        
                        About NIJ
                    About NIJ
      
    
                  How NIJ Is Organized
      
    
                  NIJ Director
      
    
                  Research Disclaimer
      
    
                  Funding & Awards
                    Funding & Awards Home
      
    
                  Awards Listing
      
    
                  Current Funding
      
    
                  Guidance for Applicants and Awardees
      
    
                  Resources
                    Events
      
    
                  Podcasts
      
    
                  Publications
      
    
                  Topics
      
    
                  Multimedia
      
    
                  Reuse Policy
      
    
                  Contacts
                    Contact NIJ
      
    
                  Staff Directory
      
    
                  Submit a FOIA Request
      
    
                  File a Civil Rights ComplaintFacebook
          
                      X
          
                      YouTube
  

      810 7th St. NW, Washington, D.C. 20531
      
              Secondary Footer link menu
            Accessibility
              Plain Language
              Privacy Policy
              Legal Policies and Disclaimer
              No FEAR Act
              Freedom of Information Act
              USA.gov
              Justice.gov