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.