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.

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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 (Research - E1)
ISBN:	978-1-4673-9322-5
Keywords:	periodic pattern; spatio-temporal; trajectory
Related URLs:	http://ieeexplore.ieee.org/xpl/login.jsp...
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%
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