This book introduces the concepts applications and development of data science in the
telecommunications industry by focusing on advanced machine learning and data mining
methodologies in the wireless networks domain. Mining Over Air describes the problems and their
solutions for wireless network performance and quality device quality readiness and returns
analytics wireless resource usage profiling network traffic anomaly detection
intelligence-based self-organizing networks telecom marketing social influence and other
important applications in the telecom industry. Written by authors who study big data analytics
in wireless networks and telecommunication markets from both industrial and academic
perspectives the book targets the pain points in telecommunication networks and markets
through big data. Designed for both practitioners and researchers the book explores the
intersection between the development of new engineering technology and uses data from the
industry to understand consumer behavior. It combines engineering savvy with insights about
human behavior. Engineers will understand how the data generated from the technology can be
used to understand the consumer behavior and social scientists will get a better understanding
of the data generation process.
