Abstract :
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
Keywords :
criminal law; data mining; police data processing; safety; applied public safety; data mining; force deployment; homeland security; intelligence setting; large data sets; law enforcement; predictive analytics; public security; Data analysis; Data mining; Data preprocessing; Data privacy; Data security; Information analysis; National security; Predictive models; Safety; Speech; actionable information; data mining; knowledge discovery; predictive analytics; sense making tools;
