My Library

University LibraryCatalogue

Limit search to items available for borrowing or consultation
Result Page: Previous Next
Can't find that book? Try BONUS+
Look for full text

Search Discovery

Search CARM Centre Catalogue

Search Trove

Add record to RefWorks

Cover Art
Author Eagle, Nathan, author.

Title Reality mining : using big data to engineer a better world / by Nathan Eagle and Kate Greene.

Published Cambridge, Massachusetts : The MIT Press, [2014]


Location Call No. Status
Physical description 1 online resource (vi, 199 pages)
polychrome rdacc
Series Books at JSTOR All Purchased.
Bibliography Includes bibliographical references and index.
Contents I. The individual (one person) -- II. The neighborhood and the organization (10 to 1,000 people) -- III. The city (1,000 to 1,000,000 people) -- IV. The nation (1 millions to 100 million people) -- V. Reality mining the world's data (100 million to 7 billion people)
Summary In this book, the authors 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. They describe reality mining at five different levels: the individual, the neighborhood and organization, the city, the nation, and the world. For each level, they offer a nontechnical explanation of data collection methods and 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. The authors argue that big data, used respectfully and responsibly, can help people live better, healthier, and happier lives. -- Edited summary from book.
Other author Greene, Kate, 1979- author.
JSTOR, issuing body.
Subject Data mining.
Big data.
Computer networks -- Social aspects.
Information science -- Social aspects.
Information science -- Statistical methods.
Electronic books.
ISBN 9780262324564