  This paper investigates to identify the requirement and the development of
machine learning-based mobile big data analysis through discussing the insights
of challenges in the mobile big data (MBD). 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 adopted methods of
data analysis 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.
