Mining Over Air: Wireless Communication Networks Analytics

Ye Ouyang, Mantian Hu, Alexis Huet, Zhongyuan Li (Autoren)

Buch | Hardcover

XI, 196 Seiten

2018
Springer International Publishing (Verlag)
978-3-319-92311-6 (ISBN)

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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.

Dr. Ye Ouyang is the youngest Fellow in Verizon history, working on the forefront of cutting edge wireless technologies, artificial intelligence, and data science space. Dr. Ouyang has distinguished experience spanning scientist, researcher, developer, architect, R&D manager, and thought leader. Dr. Ouyang is leading the Wireless Artificial Intelligence and Big Data team in Verizon Headquarters. Dr. Ouyang was awarded Verizon Fellow title (Verizon's highest commendation for technical excellence) due to his contributions to wireless AI & big data to improve the performance, quality, reliability, robustness, and scalability of Verizon's networks and devices. His research lies in wireless data science and artificial intelligence, with a focus on 3G/4G LTE/5G networks & device performance, network capacity, traffic patterns, user behaviors, and network & device service quality through simulation, data mining, statistical modeling, machine learning & deep learning techniques.

Wireless Networks.- Artificial Intelligence.- Big Data.- Machine Learning.- Long Term Evolution (LTE).- The 5^th Generation (5G).- Self-Organizing Networks (SON).- Quality of Experience (QoE).- Network Performance.- Data Analytics.

Erscheinungsdatum	12.08.2018
Zusatzinfo	XI, 196 p. 72 illus., 51 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	479 g
Themenwelt	Mathematik / Informatik ► Informatik ► Netzwerke
Schlagworte	4/5G networks • 4G • 5G • Analytics for Telecom • Artificial Intelligence • Big Data • Communications Service Providers • Contagious Churn • Data Mining • device return rate • LTE • LTE network performance • machine learning • Network Analytics • Network Based Targeting • Social Influence • Telecommunication networks • telecommunications • VoLTE Voice Quality • wireless analytics
ISBN-10	3-319-92311-0 / 3319923110
ISBN-13	978-3-319-92311-6 / 9783319923116
Zustand	Neuware