Mining place-matching patterns from spatio-temporal trajectories using complex real-world places-Reference-Cited by-同舟云学术

Mining place-matching patterns from spatio-temporal trajectories using complex real-world places

Author:

Bermingham Luke,Lee Ickjai^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference65 articles.

1. Semantic trajectories: A survey from modeling to application;Albanna,2015

2. A model for enriching trajectories with semantic geographical information;Alvares,2007

3. Real-time data stream clustering over sliding windows;Badiozamany,2016

4. Towards activity recognition in moving object trajectories from twitter data;Beber,2016

5. Individual and group activity recognition in moving object trajectories;Beber;JIDM,2017

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