Reality Mining

Reality Mining

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Big Data is made up of lots of little data: numbers entered into cell phones, addresses entered into GPS devices, visits to websites, online purchases, ATM transactions, and any other activity that leaves a digital trail. Although the abuse of Big Data -- surveillance, spying, hacking -- has made headlines, it shouldn't overshadow the abundant positive applications of Big Data. In Reality Mining, Nathan Eagle and Kate Greene cut through the hype and the headlines to explore the positive potential of Big Data, showing the ways in which the analysis of Big Data (qReality Miningq) can be used to improve human systems as varied as political polling and disease tracking, while considering user privacy.Eagle, a recognized expert in the field, and Greene, an experienced technology journalist, describe Reality Mining at five different levels: the individual, the neighborhood and organization, the city, the nation, and the world. For each level, they first offer a nontechnical explanation of data collection methods and then describe applications and systems that have been or could be built. These include a mobile app that helps smokers quit smoking; a workplace qknowledge systemq; the use of GPS, Wi-Fi, and mobile phone data to manage and predict traffic flows; and the analysis of social media to track the spread of disease. Eagle and Greene argue that Big Data, used respectfully and responsibly, can help people live better, healthier, and happier lives.It tracks steps using a pedometer that can be clipped onto shoes or inserted in specialized Nike footwear, and ... A person may manually enter activities that arena#39;t outdoors, such as swimming at a pool, and allow their iPhone to sync with ... This information is used when RunKeeper roughly calculates the number of calories burned based on the speed with which a person travels over a certain distance.

Title:Reality Mining
Author:Nathan Eagle, Kate Greene
Publisher:MIT Press - 2014-08-08


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