Reality mining : using big data to engineer a better world /

Reality mining : using big data to engineer a better world /

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Bibliographic Details
Author / Creator:	Eagle, Nathan.
Imprint:	Cambridge, Massachusetts : The MIT Press, [2014]
Description:	vi, 199 pages ; 21 cm
Language:	English
Subject:	Data mining. Big data. Computer networks -- Social aspects. Information science -- Social aspects. Information science -- Statistical methods. Big data. Computer networks -- Social aspects. Data mining. Information science -- Social aspects. Information science -- Statistical methods.
Format:	Print Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11659288

Hidden Bibliographic Details
Other authors / contributors:	Greene, Kate, 1979-
ISBN:	9780262027687 0262027682 0262529831 9780262529839
Notes:	Includes index. Includes bibliographical references and index.
Summary:	Overview: 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 ("Reality Mining") 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 "knowledge system"; 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.
Standard no.:	99961204038

Crerar, Lower Level, Bookstacks

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Call Number:	QA76.9.D343 E24 2014
c.1	Available Loan period: standard loan Scan and Deliver Request for Pickup Need help? - Ask a Librarian Notes: Gift of Barry Aprison.