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Mobile Big Data

  • Book
  • © 2018

Overview

Authors:
  1. Xiang Cheng

    1. State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics Engineering and Computing Science, Peking University, Beijing, China

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  2. Luoyang Fang

    1. Department of Electrical & Computing Engineering, Colorado State University, Fort Collins, USA

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  3. Liuqing Yang

    1. Department of Electrical & Computing Engineering, Colorado State University, Fort Collins, USA

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  4. Shuguang Cui

    1. Department of Electrical and Computer Engineering, University of California - Davis, Davis, USA

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  • Provides a comprehensive overview of mobile big data life cycle, including data source & collection, transmission, computing platform, and data-driven applications
  • Includes two case studies in detail with the real-world collected mobile big data to vividly demonstrate the mobile big data analysis and mining in terms of subscriber privacy and demand forecasting
  • Surveys the supporting infrastructure on communications and networks for mobile big data transmission

Part of the book series: Wireless Networks (WN)

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About this book

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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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Mobile Big Data

    • Xiang Cheng, Luoyang Fang, Liuqing Yang, Shuguang Cui
    Pages 1-11

  3. Source and Collection

    • Xiang Cheng, Luoyang Fang, Liuqing Yang, Shuguang Cui
    Pages 13-25

  4. Transmission

    • Xiang Cheng, Luoyang Fang, Liuqing Yang, Shuguang Cui
    Pages 27-33

  5. Computing

    • Xiang Cheng, Luoyang Fang, Liuqing Yang, Shuguang Cui
    Pages 35-49

  6. Applications

    • Xiang Cheng, Luoyang Fang, Liuqing Yang, Shuguang Cui
    Pages 51-70

  7. Case Study: Demand Forecasting for Predictive Network Managements

    • Xiang Cheng, Luoyang Fang, Liuqing Yang, Shuguang Cui
    Pages 71-95

  8. Case Study: User Identification for Mobile Privacy

    • Xiang Cheng, Luoyang Fang, Liuqing Yang, Shuguang Cui
    Pages 97-125
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Reviews

The study shows that the rich set of smartphone sensors currently available enables user identification across datasets collected from different mobile networks. … This text is best suited to graduate-level computer science and engineering students, and to professionals. Summing Up: Recommended. Graduate students, faculty, and professionals. (C. Tappert, Choice, Vol. 46 (9), May, 2019)

Authors and Affiliations

  • State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics Engineering and Computing Science, Peking University, Beijing, China

    Xiang Cheng

  • Department of Electrical & Computing Engineering, Colorado State University, Fort Collins, USA

    Luoyang Fang, Liuqing Yang

  • Department of Electrical and Computer Engineering, University of California - Davis, Davis, USA

    Shuguang Cui

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