Mobile data mining and applications / Hao Jiang, Qimei Chen, Yuanyuan Zeng, Deshi Li.
2019
QA76.9.D343 J53 2019
Linked e-resources
Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Mobile data mining and applications / Hao Jiang, Qimei Chen, Yuanyuan Zeng, Deshi Li.
Author
Jiang, Hao.
ISBN
9783030165031 (electronic book)
3030165035 (electronic book)
3030165027
9783030165024
3030165035 (electronic book)
3030165027
9783030165024
Published
Cham : Springer, [2019]
Language
English
Description
1 online resource (235 p.).
Item Number
10.1007/978-3-030-16
Call Number
QA76.9.D343 J53 2019
Dewey Decimal Classification
006.3/12
Summary
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.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Series
Information Fusion and Data Science.
Available in Other Form
Mobile Data Mining and Applications
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
All Resources
Table of Contents
Introduction
Mobile data processing and feature discovery
Mobile data application in wireless communication
Mobile data application in mobile network
Mobile data application in smart city
Conclusion, remarks, and future directions.
Mobile data processing and feature discovery
Mobile data application in wireless communication
Mobile data application in mobile network
Mobile data application in smart city
Conclusion, remarks, and future directions.