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100%: NATHAN, GREENE, KATE EAGLE: Reality Mining: Using Big Data To Engineer A Better World (ISBN: 9788120351882) 2016, PHI LEARNING PVT. LTD, Erstausgabe, in Englisch, Broschiert.Nur diese Ausgabe anzeigen…
100%: Nathan Eagle: Reality Mining : Using Big Data to Engineer a Better World (ISBN: 9780262324564) The MIT Press, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
97%: Eagle, Nathan, and Greene, Kate: Reality Mining: Using Big Data to Engineer a Better World (MIT Press) (ISBN: 9780262027687) 2014, Erstausgabe, in Englisch, Broschiert.Nur diese Ausgabe anzeigen…
94%: Nathan Eagle, Kate Greene: Reality Mining: Using Big Data To Engineer A Better World (ISBN: 9780262529839) in Englisch.Nur diese Ausgabe anzeigen…
69%: Kate Greene, Nathan Eagle: Reality Mining: Using Big Data to Engineer a Better World (MIT Press) (ISBN: 9780262324571) 2014, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
Reality Mining: Using Big Data To Engineer A Better World
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Bester Preis: € 24,55 (vom 01.07.2017)1
Reality Mining: Using Big Data To Engineer A Better World (2016)
EN HC NW FEISBN: 9788120351882 bzw. 8120351886, in Englisch, 208 Seiten, PHI LEARNING PVT. LTD, gebundenes Buch, neu, Erstausgabe.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, Lowcost Bukz.
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. This book on Big Data cuts through the hype to explore the potential of Big Data. It shows the ways in which the analysis of Big Data can be used to improve human systems as varied as political polling and disease tracking, while considering user privacy. The authors describe Reality Mining at five different levels: the individual, the neighbourhood and organization, the city, the nation and the world. For each level, they first offer a non-technical explanation of data collection methods and then describe applications and systems that have been or could be built. Thus, making it understandable to everyone. Some examples are 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 analysis of social media to track the spread of disease. Their argument being how Big Data, used respectfully and responsibly, can help people live better, healthier, and happier lives. The book will be useful for students of management, computer science, media studies and professionals as well. "We look at digital devices as things that are meant to serve us. In Reality Mining we are taken on a journey from individuals to countries, to illustrate the true transformative power that the collective use of these digital devices brings to humanity. A fascinating trip guided by researchers who have successfully bridged discovery with entrepreneurship!", Hardcover, Ausgabe: 1st, Label: PHI LEARNING PVT. LTD, PHI LEARNING PVT. LTD, Produktgruppe: Book, Publiziert: 2016, Studio: PHI LEARNING PVT. LTD, Verkaufsrang: 7587020.
Von Händler/Antiquariat, Lowcost Bukz.
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. This book on Big Data cuts through the hype to explore the potential of Big Data. It shows the ways in which the analysis of Big Data can be used to improve human systems as varied as political polling and disease tracking, while considering user privacy. The authors describe Reality Mining at five different levels: the individual, the neighbourhood and organization, the city, the nation and the world. For each level, they first offer a non-technical explanation of data collection methods and then describe applications and systems that have been or could be built. Thus, making it understandable to everyone. Some examples are 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 analysis of social media to track the spread of disease. Their argument being how Big Data, used respectfully and responsibly, can help people live better, healthier, and happier lives. The book will be useful for students of management, computer science, media studies and professionals as well. "We look at digital devices as things that are meant to serve us. In Reality Mining we are taken on a journey from individuals to countries, to illustrate the true transformative power that the collective use of these digital devices brings to humanity. A fascinating trip guided by researchers who have successfully bridged discovery with entrepreneurship!", Hardcover, Ausgabe: 1st, Label: PHI LEARNING PVT. LTD, PHI LEARNING PVT. LTD, Produktgruppe: Book, Publiziert: 2016, Studio: PHI LEARNING PVT. LTD, Verkaufsrang: 7587020.
2
Reality Mining : Using Big Data to Engineer a Better World
EN NW EB DLISBN: 9780262324564 bzw. 0262324563, in Englisch, The MIT Press, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Despatched same working day before 3pm.
A look at how Big Data can be put to positive use, from helping users break bad habits to tracking the global spread of disease.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.
A look at how Big Data can be put to positive use, from helping users break bad habits to tracking the global spread of disease.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.
3
Reality Mining: Using Big Data to Engineer a Better World (MIT Press) (2014)
EN NW RP EB DLISBN: 9780262324571 bzw. 0262324571, in Englisch, 207 Seiten, The MIT Press, neu, Nachdruck, E-Book, elektronischer Download.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, ebook for download, Free shipping.
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., Kindle Edition, Edition: Reprint, Format: Kindle eBook, Label: The MIT Press, The MIT Press, Product group: eBooks, Published: 2014-08-08, Release date: 2014-08-08, Studio: The MIT Press, Sales rank: 1016208.
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., Kindle Edition, Edition: Reprint, Format: Kindle eBook, Label: The MIT Press, The MIT Press, Product group: eBooks, Published: 2014-08-08, Release date: 2014-08-08, Studio: The MIT Press, Sales rank: 1016208.
4
Reality Mining: Using Big Data to Engineer a Better World (MIT Press) (2014)
EN NW RP EB DLISBN: 9780262324571 bzw. 0262324571, in Englisch, 207 Seiten, The MIT Press, neu, Nachdruck, E-Book, elektronischer Download.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, ebook for download, Free shipping.
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., Kindle Edition, Edition: Reprint, Format: Kindle eBook, Label: The MIT Press, The MIT Press, Product group: eBooks, Published: 2014-08-08, Release date: 2014-08-08, Studio: The MIT Press, Sales rank: 920097.
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., Kindle Edition, Edition: Reprint, Format: Kindle eBook, Label: The MIT Press, The MIT Press, Product group: eBooks, Published: 2014-08-08, Release date: 2014-08-08, Studio: The MIT Press, Sales rank: 920097.
5
Reality Mining: Using Big Data to Engineer a Better World (MIT Press) (2014)
EN HC US FEISBN: 9780262027687 bzw. 0262027682, in Englisch, 208 Seiten, The MIT Press, gebundenes Buch, gebraucht, Erstausgabe.
Neu ab: $11.34 (34 Angebote)
Gebraucht ab: $4.28 (32 Angebote)
Zu den weiteren 66 Angeboten bei Amazon.com
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, premierbooksonline.
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., Hardcover, Ausgabe: 1, Label: The MIT Press, The MIT Press, Produktgruppe: Book, Publiziert: 2014-08-01, Studio: The MIT Press, Verkaufsrang: 1662484.
Von Händler/Antiquariat, premierbooksonline.
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., Hardcover, Ausgabe: 1, Label: The MIT Press, The MIT Press, Produktgruppe: Book, Publiziert: 2014-08-01, Studio: The MIT Press, Verkaufsrang: 1662484.
6
Reality Mining: Using Big Data to Engineer a Better World (2014)
EN HC NW FEISBN: 9780262027687 bzw. 0262027682, in Englisch, 199 Seiten, Mit Pr, gebundenes Buch, neu, Erstausgabe.
Neu ab: € 15,19 (24 Angebote)
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Zu den weiteren 35 Angeboten bei Amazon.de (Int.)
Lieferung aus: Deutschland, Versandfertig in 1 - 2 Werktagen.
Von Händler/Antiquariat, ---SuperBookDeals---.
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. Gebundene Ausgabe, Ausgabe: 1, Label: Mit Pr, Mit Pr, Produktgruppe: Book, Publiziert: 2014-09-02, Studio: Mit Pr, Verkaufsrang: 478121.
Von Händler/Antiquariat, ---SuperBookDeals---.
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. Gebundene Ausgabe, Ausgabe: 1, Label: Mit Pr, Mit Pr, Produktgruppe: Book, Publiziert: 2014-09-02, Studio: Mit Pr, Verkaufsrang: 478121.
7
Reality Mining
EN NWISBN: 9780262529839 bzw. 0262529831, in Englisch, MIT Press, United States of America, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, in-stock.
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.
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.
8
Reality Mining: Using Big Data To Engineer A Better World
EN NWISBN: 9780262529839 bzw. 0262529831, in Englisch, The MIT Press, neu.
Lieferung aus: Kanada, In Stock, plus shipping.
Nathan Eagle, Kate Greene, Books, Reality Mining: Using Big Data To Engineer A Better World, 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.
Nathan Eagle, Kate Greene, Books, Reality Mining: Using Big Data To Engineer A Better World, 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.
9
Reality Mining: Using Big Data to Engineer a Better World
EN USISBN: 0262027682 bzw. 9780262027687, in Englisch, The MIT Press, gebraucht.
Lieferung aus: Vereinigte Staaten von Amerika, In Stock.
computers,computers and technology,language arts, 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.
computers,computers and technology,language arts, 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.
10
Reality Mining als eBook von Nathan Eagle, Kate Greene
EN NW EB DLISBN: 9780262324571 bzw. 0262324571, in Englisch, MIT Press, Vereinigte Staaten von Amerika, neu, E-Book, elektronischer Download.
Reality Mining ab 19.49 EURO Using Big Data to Engineer a Better World, Reality Mining ab 19.49 EURO Using Big Data to Engineer a Better World.
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