Trajectory data mining: A review of methods and applications

JD Mazimpaka, S Timpf - Journal of …, 2016‏ - digitalcommons.library.umaine.edu
The increasing use of location-aware devices has led to an increasing availability of
trajectory data. As a result, researchers devoted their efforts to develo** analysis methods …

[HTML][HTML] Big trajectory data mining: A survey of methods, applications, and services

D Wang, T Miwa, T Morikawa - Sensors, 2020‏ - mdpi.com
The increasingly wide usage of smart infrastructure and location-aware terminals has
helped increase the availability of trajectory data with rich spatiotemporal information. The …

Imaginary people representing real numbers: Generating personas from online social media data

J An, H Kwak, S Jung, J Salminen, M Admad… - ACM Transactions on …, 2018‏ - dl.acm.org
We develop a methodology to automate creating imaginary people, referred to as personas,
by processing complex behavioral and demographic data of social media audiences. From …

A hybrid Markov-based model for human mobility prediction

Y Qiao, Z Si, Y Zhang, FB Abdesslem, X Zhang, J Yang - Neurocomputing, 2018‏ - Elsevier
Human mobility behavior is far from random, and its indicators follow non-Gaussian
distributions. Predicting human mobility has the potential to enhance location-based …

A survey on next location prediction techniques, applications, and challenges

AG Chekol, MS Fufa - EURASIP Journal on Wireless Communications and …, 2022‏ - Springer
Next location prediction has recently gained great attention from researchers due to its
importance in different application areas. Recent growth of location-based service …

[HTML][HTML] Design of wearable EEG devices specialized for passive brain–computer interface applications

S Park, CH Han, CH Im - Sensors, 2020‏ - mdpi.com
Owing to the increased public interest in passive brain–computer interface (pBCI)
applications, many wearable devices for capturing electroencephalogram (EEG) signals in …

From footprint to evidence: An exploratory study of mining social data for credit scoring

G Guo, F Zhu, E Chen, Q Liu, L Wu… - ACM Transactions on the …, 2016‏ - dl.acm.org
With the booming popularity of online social networks like Twitter and Weibo, online user
footprints are accumulating rapidly on the social web. Simultaneously, the question of how to …

Inferring friendship from check-in data of location-based social networks

R Cheng, J Pang, Y Zhang - Proceedings of the 2015 IEEE/ACM …, 2015‏ - dl.acm.org
With the ubiquity of GPS-enabled devices and location-based social network services,
research on human mobility becomes quantitatively achievable. Understanding it could lead …

Discovering socially similar users in social media datasets based on their socially important locations

M Celik, AS Dokuz - Information Processing & Management, 2018‏ - Elsevier
Socially similar social media users can be defined as users whose frequently visited
locations in their social media histories are similar. Discovering socially similar social media …

Distance and friendship: A distance-based model for link prediction in social networks

Y Zhang, J Pang - Asia-Pacific Web Conference, 2015‏ - Springer
With the emerging of location-based social networks, study on the relationship between
human mobility and social relationships becomes quantitatively achievable. Understanding …