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E-BookPDF1 - PDF WatermarkE-Book
125 Seiten
Englisch
Springer International Publishingerschienen am23.08.20181st ed. 2018
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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Verfügbare Formate
BuchKartoniert, Paperback
EUR90,94
BuchGebunden
EUR128,39
E-BookPDF1 - PDF WatermarkE-Book
EUR90,94

Produkt

KlappentextThis 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.
Details
Weitere ISBN/GTIN9783319961163
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis1 - PDF Watermark
FormatE107
Erscheinungsjahr2018
Erscheinungsdatum23.08.2018
Auflage1st ed. 2018
Seiten125 Seiten
SpracheEnglisch
IllustrationenXII, 125 p. 37 illus., 36 illus. in color.
Artikel-Nr.3946089
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr

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