Mining Over Air: Wireless Communication Networks Analytics
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Beschreibung
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.
Leverages the power of machine learning and data mining for studying problems in telecommunication networks that cannot be addressed by the traditional methods in telecom space Includes methods, solutions, and algorithms that smoothly bridge data science to wireless technologies Uses analytics methods and case studies based on state-of-the-art research and applications in 4/5G wireless technologies, machine learning, and data mining Maximizes reader insight into the industry from both engineering and social science perspectives
Autor*in
Ye Ouyang
Themen in »Mining Over Air: Wireless Communication Networks Analytics«
telecommunications 4G 4/5G networks 5G LTE wireless analytics data mining machine learning Analytics for Telecom big data artificial intelligence LTE network performance network analytics telecommunication networks Communications Service Providers