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Police Data-Mining Done Right 321

enharmonix writes "Courtesy of Bruce Schneier, it's nice to hear something good about data mining for a change: predicting and stopping crime. For example, police in Redmond, VA, 'started overlaying crime reports with other data, such as weather, traffic, sports events and paydays for large employers. The data was analyzed three times a day and something interesting emerged: Robberies spiked on paydays near cheque cashing storefronts in specific neighbourhoods. Other clusters also became apparent, and pretty soon police were deploying resources in advance and predicting where crime was most likely to occur.'"

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