1. Hesseldahl, A Rich Vein for 'Reality Mining', 2008 (1)

1. Hesseldahl, A Rich Vein for 'Reality Mining', 2008 (1) -...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
A Rich Vein for 'Reality Mining' Researchers and companies are finding novel uses for information extracted from cell-phone data by Arik Hesseldahl In the aftermath of the September 11 attacks, U.S. officials quickly turned their attention to other potential targets, including California's Golden Gate Bridge. What would happen if terrorists took down the bridge between San Francisco and Marin County? How much of the region would be affected and for how long? For insights, the Homeland Security Dept. turned to a Microsoft spin-off called Inrix. The startup analyzes data from satellite navigation gear that's widely installed on trucks and some cars to produce real-time traffic information, which it sells commercially. Parsing years of stored traffic data using proprietary software, Inrix was able to model not only the immediate impact of a Golden Gate Bridge catastrophe, but also how drivers in the region would work around it. In the model, the Bay Area pulls off an amazingly quick recovery. Within a few days, drivers understand what is happening and adapt to the new reality, says Inrix Chief Executive Bryan Mistele. The technique Inrix used is called reality mining. It's a twist on data mining that allows researchers to extract information from the usage patterns of mobile phones and other wireless devices. Because these machines are almost always switched on and are constantly in contact with cellular base stations, they produce a persistent digital record of where the users are going,
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Image of page 2
This is the end of the preview. Sign up to access the rest of the document.

Page1 / 2

1. Hesseldahl, A Rich Vein for 'Reality Mining', 2008 (1) -...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online