Location-Based Activity Recognition with Hierarchical Dirichlet Process

Ghourchian, Negar

Location-Based Activity Recognition with Hierarchical Dirichlet Process

Download BibTeX Cite

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 3990-3990.

Abstract

We consider the problem of analyzing people's mobility and movement patterns from their location history, gathered by mobile devices. Human mobility traces can be extremely complex and unpredictable, by nature, which makes it hard to construct accurate models of mobility behavior. In this work, we present a novel high-level strategy for mobility data analysis based on Hierarchical Dirichlet process, which is a powerful probabilistic model for clustering grouped data. We evaluate our unsupervised approach on two real-world datasets.

Negar Ghourchian. 2016. Location-Based Activity Recognition with Hierarchical Dirichlet Process. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16. IJCAI, 3990–3990. https://ijcai.org/proceedings/2016/569

@inproceedings{ijcai2016p569,
  title     = {Location-Based Activity Recognition with Hierarchical Dirichlet Process},
  author    = {Ghourchian, Negar},
  booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
               Artificial Intelligence, {IJCAI-16}},
  publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
  editor    = {Subbarao Kambhampati},
  pages     = {3990--3990},
  year      = {2016},
  month     = {7},
  url       = {https://ijcai.org/proceedings/2016/569},
}

TY  - CPAPER
TI  - Location-Based Activity Recognition with Hierarchical Dirichlet Process
AU  - Ghourchian, Negar
T2  - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16
PB  - AAAI Press / International Joint Conferences on Artificial Intelligence
PY  - 2016
SP  - 3990
EP  - 3990
UR  - https://ijcai.org/proceedings/2016/569
ER  -