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Reality Mining : Using Big Data to Engineer a Better World

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Title: Reality Mining : Using Big Data to Engineer a Better World
Description: 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.
Authors: Nathan Eagle, Kate Greene
Resource Type: eBook.
Subjects: Data mining, Big data, Computer networks--Social aspects, Information science--Social aspects, Information science--Statistical methods
Categories: COMPUTERS / Human-Computer Interaction (HCI), COMPUTERS / Data Science / Data Analytics
Database: eBook Collection (EBSCOhost)
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PubType: eBook
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  Data: Reality Mining : Using Big Data to Engineer a Better World
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  Data: 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.
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        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Data mining
        Type: general
      – SubjectFull: Big data
        Type: general
      – SubjectFull: Computer networks--Social aspects
        Type: general
      – SubjectFull: Information science--Social aspects
        Type: general
      – SubjectFull: Information science--Statistical methods
        Type: general
    Titles:
      – TitleFull: Reality Mining : Using Big Data to Engineer a Better World
        Type: main
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          Name:
            NameFull: Nathan Eagle
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          Name:
            NameFull: Kate Greene
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          Name:
            NameFull: Nathan Eagle
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          Name:
            NameFull: Kate Greene
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2014
            – D: 13
              M: 08
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780262027687
            – Type: isbn-print
              Value: 9780262529839
            – Type: isbn-electronic
              Value: 9780262324564
            – Type: isbn-electronic
              Value: 9780262324571
          Titles:
            – TitleFull: Reality Mining : Using Big Data to Engineer a Better World
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