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Viser: Mobile Big Data

Mobile Big Data
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Mobile Big Data Vital Source e-bog

Xiang Cheng, Luoyang Fang, Liuqing Yang og Shuguang Cui
(2018)
Springer Nature
799,00 kr.
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Mobile Big Data

Mobile Big Data

Xiang Cheng, Luoyang Fang, Liuqing Yang og Shuguang Cui
(2018)
Sprog: Engelsk
Springer International Publishing AG
1.421,00 kr.
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Detaljer om varen

  • Vital Source searchable e-book (Reflowable pages)
  • Udgiver: Springer Nature (August 2018)
  • Forfattere: Xiang Cheng, Luoyang Fang, Liuqing Yang og Shuguang Cui
  • ISBN: 9783319961163
This book  provides a comprehensive picture of mobile big data starting from data sources to mobile data driven applications. Mobile Big Data comprises two main components: an overview of mobile big data, and the case studies based on real-world data recently collected by one of the largest mobile network carriers in China.  In the first component, four areas of mobile big data life cycle are surveyed: data source and collection, transmission, computing platform and applications. In the second component, two case studies are provided, based on the signaling data collected in the cellular core network in terms of subscriber privacy evaluation and demand forecasting for network management. These cases respectively give a vivid demonstration of what  mobile big data looks like, and how it can be analyzed and mined to generate useful and meaningful information and knowledge.  This book targets researchers, practitioners and professors relevant to this field.  Advanced-level students studying computer science and electrical engineering will also be interested in this book as supplemental reading. 
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Detaljer om varen

  • Hardback
  • Udgiver: Springer International Publishing AG (August 2018)
  • Forfattere: Xiang Cheng, Luoyang Fang, Liuqing Yang og Shuguang Cui
  • ISBN: 9783319961156

This book  provides a comprehensive picture of mobile big data starting from data sources to mobile data driven applications. Mobile Big Data comprises two main components: an overview of mobile big data, and the case studies based on real-world data recently collected by one of the largest mobile network carriers in China.

 In the first component, four areas of mobile big data life cycle are surveyed: data source and collection, transmission, computing platform and applications. In the second component, two case studies are provided, based on the signaling data collected in the cellular core network in terms of subscriber privacy evaluation and demand forecasting for network management. These cases respectively give a vivid demonstration of what  mobile big data looks like, and how it can be analyzed and mined to generate useful and meaningful information and knowledge.

 This book targets researchers, practitioners and professors relevant to this field.  Advanced-level students studying computer science and electrical engineering will also be interested in this book as supplemental reading. 


1 Mobile Big Data.- 2 Source and Collection.- 3 Transmission.- 4 Computing.- 5 Applications.- 6 Case Study: Demand Forecasting for Predictive Network Managements.- 7 Case Study: User Identification for Mobile Privacy.

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