國立虎尾科技大學 |

Mobile Data Mining and Applications

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Mobile Data Mining and Applications/ by Hao Jiang, Qimei Chen, Yuanyuan Zeng, Deshi Li.
作者:	Jiang, Hao.
其他作者:	Chen, Qimei.
面頁冊數:	X, 227 p. 96 illus., 77 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Wireless communication systems. -
電子資源:	https://doi.org/10.1007/978-3-030-16503-1
ISBN:	9783030165031

Mobile Data Mining and Applications
Jiang, Hao.

Mobile Data Mining and Applications[electronic resource] /by Hao Jiang, Qimei Chen, Yuanyuan Zeng, Deshi Li. - 1st ed. 2019. - X, 227 p. 96 illus., 77 illus. in color.online resource. - Information Fusion and Data Science,2510-1528. - Information Fusion and Data Science,.

Chapter1: Introduction -- Chapter2: Mobile Data Processing and Feature Discovery -- Chapter3: Mobile Data Application in Wireless Communication -- Chapter4: Mobile Data Application in Mobile Network -- Chapter5: Mobile Data Application in Smart City -- Chapter6: Conclusion, Remarks and Future Directions.

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.

ISBN: 9783030165031

Standard No.: 10.1007/978-3-030-16503-1doiSubjects--Topical Terms:

562740
Wireless communication systems.

LC Class. No.: TK5103.2-.4885

Dewey Class. No.: 384.5

Mobile Data Mining and Applications
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