Semantic trajectories modeling and analysis

By C. Parent, S. Spaccapietra, C. Renso, Gennady L. Andrienko, Natalia V. Andrienko, Vania Bogorny, M. Damiani, Aris Gkoulalas-Divanis, J. Macêdo, Nikos Pelekis and 2 more. CSUR, 2013

590 citations recorded by the source corpus.

Subfields: Building and Construction, Transportation, Signal Processing

View Paper: https://www.semanticscholar.org/paper/db79319f037a3eb7e281496ef855a45b27dd1d21

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Gao Cong
2. J. Shane Culpepper
3. Zhifeng Bao
4. Sheng Wang

In Transportation

1. Gao Cong
2. J. Shane Culpepper
3. Zhifeng Bao
4. Sheng Wang

In Signal Processing

1. Gao Cong
2. J. Shane Culpepper
3. Zhifeng Bao
4. C. Wang
5. Sheng Wang

Citations in the corpus

• A Survey on Trajectory Data Management, Analytics, and Learning (2020, background): “Semantic pattern mining was not covered in previous surveys [127, 201].”
• A review of moving object trajectory clustering algorithms (2016, background): “For many application domains, useful information may only be extracted from trajectory data if their semantics and the background geographic information are considered (Parent et al. 2013).”