Reality mining : using big data to engineer a better world

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...

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Bibliographic Details
Main Authors: Eagle, Nathan, (Author), Greene, Kate, 1979- (Author)
Format: eBook
Language: English
Published: Cambridge, Massachusetts : The MIT Press, [2014]
Subjects:
ISBN: 9780262324564
9780262027687
9781322045115
9780262324571
Physical Description: 1 online zdroj (vi, 199 pages)

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Table of contents

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020 |z 9781322045115 
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040 |a N$T  |b eng  |e rda  |e pn  |c N$T  |d YDXCP  |d IDEBK  |d E7B  |d OSU  |d OCLCO  |d QGK  |d CDX  |d COO  |d IEEEE  |d B24X7  |d OTZ  |d JSTOR  |d OCLCQ  |d ITS  |d TEFOD 
100 1 |a Eagle, Nathan,  |e author. 
245 1 0 |a Reality mining :  |b using big data to engineer a better world /  |c by Nathan Eagle and Kate Greene. 
264 1 |a Cambridge, Massachusetts :  |b The MIT Press,  |c [2014] 
264 4 |c ©2014 
300 |a 1 online zdroj (vi, 199 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
520 |a 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. --  |c Edited summary from book. 
590 |a IEEE  |b MIT Press eBooks Library-Computing & Engineering Collection Complete 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty univerzity 
650 0 |a Data mining. 
650 0 |a Big data. 
650 0 |a Computer networks  |x Social aspects. 
650 0 |a Information science  |x Social aspects. 
650 0 |a Information science  |x Statistical methods. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Greene, Kate,  |d 1979-  |e author. 
776 0 8 |i Print version:  |a Eagle, Nathan.  |t Reality mining  |z 9780262027687  |w (DLC) 2013047165  |w (OCoLC)869880206 
856 4 0 |u https://proxy.k.utb.cz/login?url=http://ieeexplore.ieee.org/servlet/opac?bknumber=6926931  |y Plný text 
992 |a BK  |c EBOOK-TN  |c MITPRESS 
999 |c 80280  |d 80280 
993 |x NEPOSILAT  |y EIZ