Cargando…
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, Massachusetts :
The MIT Press,
[2014]
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | EBOOKCENTRAL_ocn886539978 | ||
| 003 | OCoLC | ||
| 005 | 20240329122006.0 | ||
| 006 | m o d | ||
| 007 | cr mn||||||||| | ||
| 008 | 140812t20142014mau ob 001 0 eng d | ||
| 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 |d OSU |d OCLCO |d TEFOD |d OCLCQ |d OCLCO |d OCLCF |d OCLCO |d EBLCP |d HRM |d COCUF |d CNNOR |d MOR |d Z5A |d PIFAG |d ZCU |d LIV |d MERUC |d OCLCQ |d IOG |d U3W |d EZ9 |d UUM |d STF |d OCLCQ |d VTS |d CEF |d MUO |d MERER |d OCLCQ |d ICG |d CUY |d JBG |d OCLCQ |d INT |d VT2 |d OCLCQ |d WYU |d G3B |d YOU |d TKN |d REC |d DKC |d OCLCQ |d M8D |d SFB |d UKAHL |d OCLCQ |d MM9 |d RECBK |d OCLCO |d OCLCQ |d INARC |d OCLCO |d OCLCL | ||
| 019 | |a 900790231 |a 961486611 |a 1112403981 |a 1112898452 |a 1170025727 |a 1170518235 |a 1196166027 | ||
| 020 | |a 9780262324564 |q (electronic bk.) | ||
| 020 | |a 0262324563 |q (electronic bk.) | ||
| 020 | |a 9780262324571 | ||
| 020 | |a 0262324571 | ||
| 020 | |z 9780262027687 |q (hardcover ; |q alk. paper) | ||
| 020 | |z 0262027682 |q (hardcover ; |q alk. paper) | ||
| 020 | |z 9781322045115 | ||
| 020 | |z 1322045119 | ||
| 029 | 1 | |a AU@ |b 000055327534 | |
| 029 | 1 | |a CHNEW |b 000723175 | |
| 029 | 1 | |a CHNEW |b 000892478 | |
| 029 | 1 | |a DEBBG |b BV042508768 | |
| 029 | 1 | |a DEBBG |b BV044055955 | |
| 029 | 1 | |a DEBSZ |b 493148124 | |
| 029 | 1 | |a NLGGC |b 380387743 | |
| 029 | 1 | |a NZ1 |b 15874505 | |
| 035 | |a (OCoLC)886539978 |z (OCoLC)900790231 |z (OCoLC)961486611 |z (OCoLC)1112403981 |z (OCoLC)1112898452 |z (OCoLC)1170025727 |z (OCoLC)1170518235 |z (OCoLC)1196166027 | ||
| 037 | |a 22573/ctt88qxm6 |b JSTOR | ||
| 037 | |a AE529C29-B440-41F4-83DD-39F215EB4FF3 |b OverDrive, Inc. |n http://www.overdrive.com | ||
| 050 | 4 | |a QA76.9.D343 |b E24 2014eb | |
| 072 | 7 | |a COM |x 000000 |2 bisacsh | |
| 072 | 7 | |a COM021030 |2 bisacsh | |
| 072 | 7 | |a COM079010 |2 bisacsh | |
| 082 | 0 | 4 | |a 006.3/12 |2 23 |
| 049 | |a UAMI | ||
| 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 resource (vi, 199 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 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 | ||
| 505 | 0 | |a Introduction -- Part 1: Individual (One Person): -- Mobile phones, sensors, and lifelogging: collecting data from individuals while considering privacy -- Using personal data in a privacy-sensitive way to make a person's life easier and healthier -- Part 2: Neighborhood And The Organization (10 to 1,000 People): -- Gathering data from small heterogeneous groups -- Engineering and policy: building more efficient businesses, enabling hyperlocal politics, life queries, and opportunity searches -- Part 3: City (1,000 to 1,000,000 people): -- Traffic data, crime stats, and closed-circuit cameras: accumulating urban analytics -- Engineering and policy: optimizing resource allocation -- Part 4: Nation (1 Million to 100 Million People) -- Taking the pulse of a nation: census, mobile phones, and internet giants -- Engineering and policy: addressing national sentiment, economic deficits, and disasters -- Part 5: Reality Mining The World's Data (100 Million to 7 Billion People): -- Gathering the world's data: global census, international travel and commerce, and planetary-scale communication: -- Engineering a safer and healthier world -- Conclusion -- Notes -- Index. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 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. | |
| 650 | 2 | |a Data Mining | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Réseaux d'ordinateurs |x Aspect social. | |
| 650 | 6 | |a Sciences de l'information |x Aspect social. | |
| 650 | 7 | |a COMPUTERS |x General. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Database Management |x Data Mining. |2 bisacsh | |
| 650 | 7 | |a Big data |2 fast | |
| 650 | 7 | |a Computer networks |x Social aspects |2 fast | |
| 650 | 7 | |a Data mining |2 fast | |
| 650 | 7 | |a Information science |x Social aspects |2 fast | |
| 650 | 7 | |a Information science |x Statistical methods |2 fast | |
| 700 | 1 | |a Greene, Kate, |d 1979- |e author. |1 https://id.oclc.org/worldcat/entity/E39PCjwGf3VWkQWfYp8Wc6Q4Rq | |
| 758 | |i has work: |a Reality mining (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGRt7JBdjvXBgfBGqvXhf3 |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 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://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=3339840 |z Texto completo |
| 938 | |a Internet Archive |b INAR |n realityminingusi0000eagl | ||
| 938 | |a Askews and Holts Library Services |b ASKH |n AH37531329 | ||
| 938 | |a Askews and Holts Library Services |b ASKH |n AH33866828 | ||
| 938 | |a Books 24x7 |b B247 |n bks00073654 | ||
| 938 | |a Coutts Information Services |b COUT |n 28795682 | ||
| 938 | |a EBL - Ebook Library |b EBLB |n EBL3339840 | ||
| 938 | |a ebrary |b EBRY |n ebr10904661 | ||
| 938 | |a EBSCOhost |b EBSC |n 826635 | ||
| 938 | |a ProQuest MyiLibrary Digital eBook Collection |b IDEB |n cis28837525 | ||
| 938 | |a Recorded Books, LLC |b RECE |n rbeEB00827804 | ||
| 938 | |a YBP Library Services |b YANK |n 11933292 | ||
| 994 | |a 92 |b IZTAP | ||