Journal
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
Volume -, Issue -, Pages -Publisher
WILEY-HINDAWI
DOI: 10.1155/2018/8738613
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Funding
- National Natural Science Foundation of China (NSFC) [61773071]
- Beijing Nova Program Interdisciplinary Cooperation Project [Z181100006218137]
- Beijing Nova Program [Z171100001117049]
- Beijing Natural Science Foundation (BNSF) [4162044]
- Funds of Beijing Laboratory of Advanced Information Networks of BUPT
- Funds of Beijing Key Laboratory of Network System Architecture and Convergence of BUPT
- BUPT Excellent Ph.D. Students Foundation [XTCX201804]
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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.
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