Social Computing for Mobile Big Data
Zhang, X; Yi, Z; Yan, Z; et al.Min, G; Wang, W; Elmokashfi, A; Maharjan, S; Zhang, Y
Date: 7 September 2016
Journal
Computer
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publisher DOI
Abstract
Mobile big data contains vast statistical features in various dimensions, including spatial, temporal, and the underlying social domain. Understanding and exploiting the features of mobile data from a social network perspective will be extremely beneficial to wireless networks, from planning, operation, and maintenance to optimization ...
Mobile big data contains vast statistical features in various dimensions, including spatial, temporal, and the underlying social domain. Understanding and exploiting the features of mobile data from a social network perspective will be extremely beneficial to wireless networks, from planning, operation, and maintenance to optimization and marketing.
Computer Science
Faculty of Environment, Science and Economy
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