This paper attempts to identify the requirement and the development of machine learning-based mobile big data (MBD) analysis\nthrough discussing the insights of challenges in the mobile big data. Furthermore, it reviews the state-of-the-art applications of data\nanalysis in the area of MBD. Firstly, we introduce the development of MBD. Secondly, the frequently applied data analysis methods\nare reviewed. Three typical applications of MBD analysis, namely, wireless channel modeling, human online and offline behavior\nanalysis, and speech recognition in the Internet of Vehicles, are introduced, respectively. Finally, we summarize the main challenges\nand future development directions of mobile big data analysis.
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