Periodic pattern mining for spatio-temporal trajectories: a survey

Zhang, Dongzhi, Lee, Joanne, and Lee, Ickjai (2015) Periodic pattern mining for spatio-temporal trajectories: a survey. In: Proceedings of 2015 10th International Conference on Intelligent Systems and Knowledge Engineering, pp. 306-313. From: IEEE ISKE 2015: 10th International Conference on Intelligent Systems and Knowledge Engineering, 24-27 November 2015, Taipei, Taiwan.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: http://dx.doi.org/10.1109/ISKE.2015.92
 
3


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.

Item ID: 42511
Item Type: Conference Item (Refereed Research Paper - E1)
Keywords: periodic pattern; spatio-temporal; trajectory
Related URLs:
ISBN: 978-1-4673-9322-5
Date Deposited: 10 Feb 2016 03:01
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890201 Application Software Packages (excl. Computer Games) @ 100%
Downloads: Total: 3
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page