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.'"
Wrong city listed in summary (Score:5, Informative)
Chip H.
Re:scanning the comments here on slashdot (Score:4, Informative)
God.. (Score:3, Informative)
Maybe if you could do more then reflexively see the negative part of 'humanity' you could have posted something worth the +5 insightful. All I hear is adolescent clap-trap. Grow up.
I think you'll find (Score:3, Informative)
That's how it works here. You'll essentially never get a ticket for doing less than 10 over (except special cases like school zones and such) and there's no quotas at all. They just put the jerks, the people who will write other cops and even the own family tickets (really) on ticket duty. They have no problem issuing a book or more a day each.
There's not really much reason to whine, either. Yes, the ticket cops are jerks, but if you are going 10 over you can't really say you didn't know.