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"Catch the Bad Guys"

Big Data & the Boston Marathon Probe

FBI - Investigative Database

Extracting Key Investigative Data from the "Noise" Over Ten Terabytes of Data did not overwhelm federal, local and state investigators.   What follows is a fascinating story involving advanced data access, tracking and retrieval technologies.  Boston probe's big data use hints at the future By Frank Konkel - Article Courtesy of:  FCW Less than 24 hours after two explosions killed three people and injured dozens more at the April 15 Boston Marathon, the Federal Bureau of Investigation had compiled 10 terabytes of data in hopes of finding needles in haystacks of information that might lead to the suspects. The tensest part of the ongoing investigation – the death of one suspect and the capture … [Read more...]

ATF Buying Huge Amounts of Big Data for Criminal Investigations

ATF - Tactical Operations Officer

The ATF Wants ‘Massive’ Online Database to Find Out Who Your Friends Are BY ROBERT BECKHUSEN  Article Courtesy of:  Wired.com The ATF is looking to speed up its caseload with an automated database for searching individuals — like these cadets during a 2010 civilian training session — and discovering the relationships between them. The ATF doesn’t just want a huge database to reveal everything about you with a few keywords. It wants one that can find out who you know. And it won’t even try to friend you on Facebook first. According to a recent solicitation from the Bureau of Alcohol, Tobacco, Firearms and Explosives, the bureau is looking to buy a “massive online data repository system” for its … [Read more...]

Facebook & Big Data Collide

Investigative Database

Big Data Could Cripple Facebook Article Courtesy of:  TechCrunch & JON EVANS So there’s this startup called SmogFarm, which does big-data sentiment analysis, “pulse of the planet” stuff. I spotted them last year, and now they’ve got an actual product with an actual business model up and running in private beta: KredStreet, “The Social Stock Trader Rankings,” which performs sentiment analysis on StockTwits data and a sampling of the Twitter firehose to determine traders’ overall bullish/bearish feeling. They also compare reality against past sentiment to score and rank traders based on their accuracy, which is more interesting. It’s a first iteration, but it looks pretty nifty, and I like … [Read more...]

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