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Mobile big data Xiang Cheng

By: Material type: TextTextPublication details: New York, NY : Springer Science+Business Media, 2018.Description: pages cmISBN:
  • 9783319961156
Subject(s): DDC classification:
  • 005.7 CH MO
Online resources: Summary: 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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Item type Current library Call number Status Date due Barcode
ON ORDER University of Wollongong in Dubai On Order 005.7 CH MO (Browse shelf(Opens below)) Ordered T0060676
Browsing University of Wollongong in Dubai shelves, Shelving location: On Order Close shelf browser (Hides shelf browser)
005.133 SC JA Java : 005.133 ST CP The C++ programming language 005.54 AL ON 101 ready-to-use excel formulas / 005.7 CH MO Mobile big data 005.74 AK MO Mobility data modeling and analysis / 005.74 SH DA Data mining : 005.7565 DA SQ SQL for MySQL :

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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