Mobile big data analysis with machine learning
It provides a survey for researchers in mobile big data analysis, but is incremental as it reviews existing work without novel contributions.
This paper reviews the state-of-the-art applications and challenges of machine learning-based mobile big data analysis, including wireless channel modeling, human behavior analysis, and speech recognition in the internet of vehicles, without presenting new experimental results or concrete numbers.
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.