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A Survey on Machine Learning‐Based Mobile Big Data Analysis: Challenges and Applications

Year: 2018
Type: article
Abstract: This paper attempts to identify the requirement and the development of machine learning‐based mobile big data (MBD) analysis through discussing the insights of challenges in the mobile big data. Furthermore, it reviews the state‐of‐the‐art applications of data analysis in the area of MBD. Firstly, we introduce the development of MBD. Secondly, the frequently applied data analysis methods are reviewed. Three typical applications of MBD analysis, namely, wireless channel modeling, human online and offline behavior analysis, and speech recognition in the Internet of Vehicles, are introduced, respectively. Finally, we summarize the main challenges and future development directions of mobile big data analysis.
DOI: 10.1155/2018/8738613
Authors: Jiyang Xie, Zeyu Song, Yupeng Li, Yanting Zhang, Hong Yu, Jinnan Zhan, Zhanyu Ma, Yuanyuan Qiao, Jianhua Zhang, Jun Guo
Language: English
Open Access status: hybrid
Estimated APC paid: $2,550
Funders: National Natural Science Foundation of China, Beijing University of Posts and Telecommunications, Bulgarian National Science Fund, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing Municipal Natural Science Foundation, Beijing Nova Program
OpenAlex ID: W2887616981
FWCI: 9.585
Cites: 173
Cited by: 52
Related to: 10