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.
Über den Autor Xiang Cheng
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Dr. Zhang has the benefit of academic and industrial experience in the medical industry, having worked in academia for 17 years before moving to applied research for industry in 1999. For the last 15 years, he has been involved in fundamental, applied research (mainly for industry) in polymers and his fundamental understanding of polymer science has helped him to develop successful medical products. Dr. Zhang's work has covered most aspects of medical materials and medical devices from R&D stages to manufacturing. In addition to working as Principal Consultant for Lucideon, Dr. Zhang is currently organizing and supervising research in degradable polymers and their hybrid composites for medical applications at the University of Cambridge.
