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Mobile Data Mining and Applications - Couverture rigide

 
9783030165024: Mobile Data Mining and Applications

Synopsis

This book focuses on mobile data and its applications in the wireless networks of the future. Several topics form the basis of discussion, from a mobile data mining platform for collecting mobile data, to mobile data processing, and mobile feature discovery. Usage of mobile data mining is addressed in the context of three applications: wireless communication optimization, applications of mobile data mining on the cellular networks of the future, and how mobile data shapes future cities.

In the discussion of wireless communication optimization, both licensed and unlicensed spectra are exploited. Advanced topics include mobile offloading, resource sharing, user association, network selection and network coexistence. Mathematical tools, such as traditional convexappl/non-convex, stochastic processing and game theory are used to find objective solutions. Discussion of the applications of mobile data mining to cellular networks of the future includes topics such as green communication networks, 5G networks, and studies of the problems of cell zooming, power control, sleep/wake, and energy saving. The discussion of mobile data mining in the context of smart cities of the future covers applications in urban planning and environmental monitoring: the technologies of deep learning, neural networks, complex networks, and network embedded data mining. Mobile Data Mining and Applications will be of interest to wireless operators, companies, governments as well as interested end users.

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À propos de l?auteur

Hao Jiang is currently a Professor with Wuhan University. He has authored over 60 papers journals and conference publications. His research interest includes mobile big data and mobile ad hoc networks.

Qimei Chen is an Associate Researcher with the School of Electronic Information at Wuhan University, China. Her current research interests are in the area of LTE-U, mobile edge computing, unmanned aerial vehicle, heterogeneous networks, and mmWave communications.

Yuanyuan Zeng is currently an Associate Professor at the School of Electronic Information, Wuhan University, China. She is also affiliated with the Collaborative Innovation Center for Geospatial Technology. She has published over 50 research papers in international journals and conference publications. Her research interests include mobile edge computing, network embedded systems, wireless sensor networks, and human-centric sensing.

Deshi Li is a professor at Wuhan University and serves as a memberof the Internet of Things Expert Committee and the Education Committee of Chinese Institute of Electronics. Dr Li focuses his research in wireless communication, sensor networks, and SOC design

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  • ÉditeurSpringer Nature Switzerland AG
  • Date d'édition2019
  • ISBN 10 3030165027
  • ISBN 13 9783030165024
  • ReliureRelié
  • Langueanglais
  • Nombre de pages227
  • Coordonnées du fabricantnon disponible

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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces a mobile data mining platform consistent with industry standardsEasily applicable to real-world scenariosIncludes hot topics such as mobile offloading and resource sharing. N° de réf. du vendeur 280259652

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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on mobile data and its applications in the wireless networks of the future. Several topics form the basis of discussion, from a mobile data mining platform for collecting mobile data, to mobile data processing, and mobile feature discovery. Usage of mobile data mining is addressed in the context of three applications: wireless communication optimization, applications of mobile data mining on the cellular networks of the future, and how mobile data shapes future cities.In the discussion of wireless communication optimization, both licensed and unlicensed spectra are exploited. Advanced topics include mobile offloading, resource sharing, user association, network selection and network coexistence. Mathematical tools, such as traditional convexappl/non-convex, stochastic processing and game theory are used to find objective solutions. Discussion of the applications of mobile data mining to cellular networks of the future includes topics such as green communication networks, 5G networks, and studies of the problems of cell zooming, power control, sleep/wake, and energy saving. The discussion of mobile data mining in the context of smart cities of the future covers applications in urban planning and environmental monitoring: the technologies of deep learning, neural networks, complex networks, and network embedded data mining.Mobile Data Mining and Applicationswill be of interest to wireless operators, companies, governments as well as interested end users. N° de réf. du vendeur 9783030165024

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on mobile data and its applications in the wireless networks of the future. Several topics form the basis of discussion, from a mobile data mining platform for collecting mobile data, to mobile data processing, and mobile feature discovery. Usage of mobile data mining is addressed in the context of three applications: wireless communication optimization, applications of mobile data mining on the cellular networks of the future, and how mobile data shapes future cities.In the discussion of wireless communication optimization, both licensed and unlicensed spectra are exploited. Advanced topics include mobile offloading, resource sharing, user association, network selection and network coexistence. Mathematical tools, such as traditional convexappl/non-convex, stochastic processing and game theory are used to find objective solutions. Discussion of the applications of mobile data mining to cellular networks of the future includes topics such as green communication networks, 5G networks, and studies of the problems of cell zooming, power control, sleep/wake, and energy saving. The discussion of mobile data mining in the context of smart cities of the future covers applications in urban planning and environmental monitoring: the technologies of deep learning, neural networks, complex networks, and network embedded data mining.Mobile Data Mining and Applicationswill be of interest to wireless operators, companies, governments as well as interested end users. 240 pp. Englisch. N° de réf. du vendeur 9783030165024

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Buch. Etat : Neu. Neuware -This book focuses on mobile data and its applications in the wireless networks of the future. Several topics form the basis of discussion, from a mobile data mining platform for collecting mobile data, to mobile data processing, and mobile feature discovery. Usage of mobile data mining is addressed in the context of three applications: wireless communication optimization, applications of mobile data mining on the cellular networks of the future, and how mobile data shapes future cities.In the discussion of wireless communication optimization, both licensed and unlicensed spectra are exploited. Advanced topics include mobile offloading, resource sharing, user association, network selection and network coexistence. Mathematical tools, such as traditional convexappl/non-convex, stochastic processing and game theory are used to find objective solutions. Discussion of the applications of mobile data mining to cellular networks of the future includes topics such as green communication networks, 5G networks, and studies of the problems of cell zooming, power control, sleep/wake, and energy saving. The discussion of mobile data mining in the context of smart cities of the future covers applications in urban planning and environmental monitoring: the technologies of deep learning, neural networks, complex networks, and network embedded data mining. Mobile Data Mining and Applications will be of interest to wireless operators, companies, governments as well as interested end users.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 240 pp. Englisch. N° de réf. du vendeur 9783030165024

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