Periodic pattern mining for spatio-temporal trajectories: a survey
Conference Publication ResearchOnline@JCUZhang, Dongzhi;Lee, Joanne;Lee, Ickjai
Abstract
The discovery of hidden and valuable periodic patterns could reveal valuable information to the data analyst. Periodic patterns extracted from spatio-temporal trajectories of moving objects unveil regular movement behavior. This paper surveys the breath and depth review of spatio-temporal periodic pattern mining and presents an overview of periodic pattern discovering methods from spatio-temporal trajectory data.
Journal
N/A
Publication Name
IEEE ISKE 2015: 10th International Conference on Intelligent Systems and Knowledge Engineering
Volume
N/A
ISBN/ISSN
978-1-4673-9322-5
Edition
N/A
Issue
N/A
Pages Count
8
Location
Taipei, Taiwan
Publisher
Institute of Electrical and Electronics Engineers
Publisher Url
N/A
Publisher Location
Piscataway, NJ, USA
Publish Date
N/A
Url
N/A
Date
N/A
EISSN
N/A
DOI
10.1109/ISKE.2015.92