Data Mining and Predictive Analytics in Public Safety and Security

Used for many years in the business community, data mining and predictive analytics are finding new roles in areas outside business - like the law enforcement. Crime and criminal behavior, including the most aberrant or heinous crimes, frequently can be categorized and modeled, a characteristics use...

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Bibliographic Details
Published in:IT professional 2006-07, Vol.8 (4), p.12-18
Main Author: McCue, C.
Format: Article
Language:English
Subjects:
actionable information
Business
Crime
Data analysis
Data collection
Data mining
Data preprocessing
Data privacy
Data security
Feature selection
Global positioning systems
GPS
Homeland security
Information analysis
Information technology
Intelligence
knowledge discovery
Law enforcement
Mathematical analysis
National security
Predictive analytics
Predictive models
Public safety
Robbery
Safety
Security
sense making tools
Serial crime
Software
Speech
Trends
Citations: Items that cite this one
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Summary:Used for many years in the business community, data mining and predictive analytics are finding new roles in areas outside business - like the law enforcement. Crime and criminal behavior, including the most aberrant or heinous crimes, frequently can be categorized and modeled, a characteristics used successfully in the apprehension of serial killers and child predators, as well as drug dealers, robbers, and thieves. Therefore data mining and predictive analytics are rapidly gaining acceptance and use in the applied public safety, security, and intelligence setting given their ability to process large data sets and identify actionable patterns and trends. In particular, the areas of force deployment and homeland security have emerged as early adopters of this technology
ISSN:1520-9202
1941-045X
DOI:10.1109/MITP.2006.84