Determining motive in violent crimes is one example she gives: "It's setting up decision trees: Was the victim at high risk or was the victim not at high risk? Was the victim killed in the location she or he was found, or was the victim moved? Was it a crime of opportunity?"
McCue encourages capturing and extending some of the natural data mining that's already occurring and then bringing in additional law enforcement-specific tools. While more can be done today, even more will be needed tomorrow.
"The population of the United States is at an all-time high, so the volume of crime is going to rise as population increases," Albanese says. "As the population gets more diverse, solving crimes is going to get more and more difficult. Police need all the potential tools they can find, and I think data mining is a very useful tool."
McCraw asks, "How can you not be excited about being able to identify seemingly unidentifiable points that will enable you to prevent acts of terrorism or crime or even solve crimes?"