Title :
Periodic Pattern Mining for Spatio-Temporal Trajectories: A Survey
Author :
Dongzhi Zhang;Kyungmi Lee;Ickjai Lee
Author_Institution :
Coll. of Bus., Law &
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.
Keywords :
"Trajectory","Time series analysis","Association rules","Spatial databases","Feature extraction"
Conference_Titel :
Intelligent Systems and Knowledge Engineering (ISKE), 2015 10th International Conference on
DOI :
10.1109/ISKE.2015.92