… structured or unstructured data called mobile big data (MBD). … mobile phones. By 2020,
50 billion devices are expected to be connected to the Internet. At this point, predicted data …

… features of mobile big data. We overview various applications that exploit these data. … In
addition, the trend in mobile big data analytics is that mobile big data are increasingly used not …

… Like other big data, mobile big data are complex multifaceted objects with the complex
internal relations. They are becoming an infrastructure of their own and need to be supported by …

… the main challenges and future development directions of mobile big data analysis. … the
new criterion for data analytics of enterprises and researchers. Therefore, mobile big data (MBD) …

… framework deals with the mobile big data generated by the aforementioned considered
architecture. In particular, we focus on FMBDbased mobile big data acquisition and processing. …

… computing architecture for big data is discussed in Sec.VII, which provides an effective tool
for mobile big data research, especially on mobile big data mining. Finally, data security and …

… This growth can be attributed as Mobile Big Data and provides new challenges and … concept
of Mobile Big Data, provide description of various sources of Mobile Big Data and discuss …

… Collecting mobile big data is unprofitable unless suitable analytics and learning methods …
data. This article presents an overview and brief tutorial on deep learning in mobile big data …

… The usage of mobile devices steadily grows causing an enormous rise in the mobile data
traffic over the Internet. Data is produced by handheld, pervasive and wearable devices, which …

… In summary, we use mobile big data to construct real-time indices to track trends in Chinese
employment and consumption. We employ several strategies to verify our assumptions and …