Mobile Big Data

Nonfiction, Computers, Networking & Communications, Hardware, Database Management, General Computing
Cover of the book Mobile Big Data by Xiang Cheng, Luoyang Fang, Liuqing Yang, Shuguang Cui, Springer International Publishing
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Author: Xiang Cheng, Luoyang Fang, Liuqing Yang, Shuguang Cui ISBN: 9783319961163
Publisher: Springer International Publishing Publication: August 23, 2018
Imprint: Springer Language: English
Author: Xiang Cheng, Luoyang Fang, Liuqing Yang, Shuguang Cui
ISBN: 9783319961163
Publisher: Springer International Publishing
Publication: August 23, 2018
Imprint: Springer
Language: English

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. 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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