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Mobile Data Mining and Applications (Hardcover, 1st ed. 2019) Loot Price: R3,699
Discovery Miles 36 990
Mobile Data Mining and Applications (Hardcover, 1st ed. 2019): Hao Jiang, Qimei Chen, Yuanyuan Zeng, Deshi Li

Mobile Data Mining and Applications (Hardcover, 1st ed. 2019)

Hao Jiang, Qimei Chen, Yuanyuan Zeng, Deshi Li

Series: Information Fusion and Data Science

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Loot Price R3,699 Discovery Miles 36 990 | Repayment Terms: R347 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Information Fusion and Data Science
Release date: May 2019
First published: 2019
Authors: Hao Jiang • Qimei Chen • Yuanyuan Zeng • Deshi Li
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 227
Edition: 1st ed. 2019
ISBN-13: 978-3-03-016502-4
Categories: Books > Computing & IT > Computer hardware & operating systems > Handheld devices (eg Palm, PocketPC)
Books > Computing & IT > Computer programming > General
Books > Social sciences > Sociology, social studies > Social research & statistics > General
Books > Earth & environment > Geography > Human geography > General
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > WAP (wireless) technology
Books > Computing & IT > Applications of computing > Databases > Data mining
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LSN: 3-03-016502-7
Barcode: 9783030165024

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