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December 19, 2004
The Cyber Detective
Working 24 hours a day, seven days a week, it could look for telltale similarities in crime records and alert detectives when it finds them. Developed by computer scientists Tom Muscarello and Kamal Dahbur at DePaul University in Chicago, the system uses pattern-recognition software to link related crimes. Called the Classification System for Serial Criminal Patterns (CSSCP), the system sifts through all the case records available to it, assigning numerical values to different aspects of each crime, such as the kind of offence, the perpetrator's sex, height and age, and the type of weapon or getaway vehicle used. From these figures it builds a crime description profile.
A neural network program then uses this to seek out crimes with similar profiles. The neural network the DePaul team uses, called a Kohonen network, is particularly good at finding patterns in a set of input data without any human intervention. Some neural networks require an operator to "train" them to find patterns in data sets, but this requires foreknowledge of the pattern. If it finds a possible link between two crimes, CSSCP compares when and where they took place to find out whether the same criminals would have had enough time to travel from one crime scene to the other.
Posted by thinkingmachine at December 19, 2004 12:08 PM
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