A Survey on Machine Learning‐Based Mobile Big Data Analysis: Challenges and Applications

J Xie, Z Song, Y Li, Y Zhang, H Yu… - Wireless …, 2018 - Wiley Online Library
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-driven rating framework: measuring the relationship between human mobility and app usage behavior

Y Qiao, X Zhao, J Yang, J Liu - IEEE Network, 2016 - ieeexplore.ieee.org
Smart devices bring us ubiquitous mobile access to the Internet, making it possible to surf
the Internet in mobile environments. With the pervasiveness of mobile Internet, much …

An analysis of longitudinal trends in consumer thoughts on presence and simulator sickness in VR games

J Porter III, A Robb - Proceedings of the Annual Symposium on Computer …, 2019 - dl.acm.org
Since the release of the Oculus Rift CV1 in 2016, millions of VR headsets have found their
way into consumer homes. In this paper, we sought to understand what shifts have taken …

Inferred vs traditional personality assessment: are we predicting the same thing?

P Novikov, L Mararitsa, V Nozdrachev - arXiv preprint arXiv:2103.09632, 2021 - arxiv.org
Machine learning methods are widely used by researchers to predict psychological
characteristics from digital records. To find out whether automatic personality estimates …

[PDF][PDF] Leveraging WiFi network logs to infer social interactions: A case study of academic performance and student behavior

VD Swain, HH Kwon, B Saket, MB Morshed… - arXiv preprint arXiv …, 2020 - academia.edu
On university campuses, social interactions among students can explain their academic
experiences. However, assessing these interactions with surveys fails to capture their …

Prediction of user app usage behavior from geo-spatial data

X Zhao, Y Qiao, Z Si, J Yang, A Lindgren - Proceedings of the Third …, 2016 - dl.acm.org
In the era of mobile Internet, a vast amount of geo-spatial data allows us to gain further
insights into human activities, which is critical for Internet Services Providers (ISP) to provide …

Leveraging WiFi network logs to infer student collocation and its relationship with academic performance

VD Swain, H Kwon, S Sargolzaei, B Saket… - EPJ Data …, 2023 - epjds.epj.org
A comprehensive understanding of collocated social interactions can help campuses and
organizations better support their community. Universities could determine new ways to …

Change analysis and management: a process model and its application within a commercial setting

W Lam, V Shankararaman, S Jones… - … IEEE Workshop on …, 1998 - ieeexplore.ieee.org
This paper discusses the need for systematic and methodical approaches to Change
Analysis and Management (CHAM) on software projects. Our main contribution is a …

Mining individual mobile user behavior on location and interests

J Yan, Y Qiao, J Yang, S Gao - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
With the ubiquitous Internet applications brought by widespread popularity of smart device,
an exhaustive understanding of user behavior is becoming essential for Internet Service …

Mobile biometrics, replay attacks, and behavior profiling: An empirical analysis of impostor detection

T Neal, D Woodard - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
The rise of mobile devices has contributed new biometric modalities which reflect behavioral
tendencies as users interact with the device's services. In this paper, we explore replay …