Trajectory data mining: an overview

Y Zheng - ACM Transactions on Intelligent Systems and …, 2015 - dl.acm.org
The advances in location-acquisition and mobile computing techniques have generated
massive spatial trajectory data, which represent the mobility of a diversity of moving objects …

The long road to computational location privacy: A survey

V Primault, A Boutet, SB Mokhtar… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
The widespread adoption of continuously connected smartphones and tablets developed
the usage of mobile applications, among which many use location to provide geolocated …

Difftraj: Generating gps trajectory with diffusion probabilistic model

Y Zhu, Y Ye, S Zhang, X Zhao… - Advances in Neural …, 2023 - proceedings.neurips.cc
Pervasive integration of GPS-enabled devices and data acquisition technologies has led to
an exponential increase in GPS trajectory data, fostering advancements in spatial-temporal …

Information security in big data: privacy and data mining

L Xu, C Jiang, J Wang, J Yuan, Y Ren - Ieee Access, 2014 - ieeexplore.ieee.org
The growing popularity and development of data mining technologies bring serious threat to
the security of individual,'s sensitive information. An emerging research topic in data mining …

Semantic trajectories modeling and analysis

C Parent, S Spaccapietra, C Renso… - ACM Computing …, 2013 - dl.acm.org
Focus on movement data has increased as a consequence of the larger availability of such
data due to current GPS, GSM, RFID, and sensors techniques. In parallel, interest in …

Destination prediction by sub-trajectory synthesis and privacy protection against such prediction

AY Xue, R Zhang, Y Zheng, X Xie… - 2013 IEEE 29th …, 2013 - ieeexplore.ieee.org
Destination prediction is an essential task for many emerging location based applications
such as recommending sightseeing places and targeted advertising based on destination. A …

Privacy in trajectory micro-data publishing: a survey

M Fiore, P Katsikouli, E Zavou, M Cunche… - Transactions on Data …, 2020 - orbit.dtu.dk
We survey the literature on the privacy of trajectory micro-data, ie, spatiotemporal
information about the mobility of individuals, whose collection is becoming increasingly …

LSTM-TrajGAN: A deep learning approach to trajectory privacy protection

J Rao, S Gao, Y Kang, Q Huang - arXiv preprint arXiv:2006.10521, 2020 - arxiv.org
The prevalence of location-based services contributes to the explosive growth of individual-
level trajectory data and raises public concerns about privacy issues. In this research, we …

Semantic trajectories: Mobility data computation and annotation

Z Yan, D Chakraborty, C Parent… - ACM Transactions on …, 2013 - dl.acm.org
With the large-scale adoption of GPS equipped mobile sensing devices, positional data
generated by moving objects (eg, vehicles, people, animals) are being easily collected …

Show me how you move and I will tell you who you are

S Gambs, MO Killijian… - … and Privacy in GIS and LBS, 2010 - dl.acm.org
Due to the emergence of geolocated applications, more and more mobility traces are
generated on a daily basis and collected in the form of geolocated datasets. If an …