| 书目名称 | Mobile Data Mining and Applications | | 编辑 | Hao Jiang,Qimei Chen,Deshi Li | | 视频video | | | 概述 | Introduces a mobile data mining platform consistent with industry standards.Easily applicable to real-world scenarios.Includes hot topics such as mobile offloading and resource sharing | | 丛书名称 | Information Fusion and Data Science | | 图书封面 |  | | 描述 | .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 | | 出版日期 | Book 2019 | | 关键词 | data mining platforms for mobile; data mining over wireless; data processing on mobile; feature discove | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-16503-1 | | isbn_ebook | 978-3-030-16503-1Series ISSN 2510-1528 Series E-ISSN 2510-1536 | | issn_series | 2510-1528 | | copyright | Springer Nature Switzerland AG 2019 |
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发表于 2025-3-21 19:45:36
