DocumentCode :
1910787
Title :
Pattern Mining from Trajectory GPS Data
Author :
Geng, Xiaoliang ; Arimura, Hiroki ; Uno, Takeaki
Author_Institution :
Grad. Sch. of Inf. Sciece & Technol., Hokkaido Univ., Sapporo, Japan
fYear :
2012
fDate :
20-22 Sept. 2012
Firstpage :
60
Lastpage :
65
Abstract :
In this paper, we consider data mining from large discrete trajectory data. We study closed pattern mining for the class of trajectory envelope patterns. First, we introduce the basic definition of trajectory data. Then, we present a depth-first search algorithm that finds all trajectory envelope patterns in a given database that satisfies constrants on maximum width, minimum length, and minimum frequency. Finally, we ran experiments on a real trajectory dataset to evaluate our algorithm.
Keywords :
Global Positioning System; data mining; search problems; database; depth-first search algorithm; discrete trajectory data; pattern mining; trajectory GPS data; trajectory envelope pattern; Approximation algorithms; Data mining; Databases; Global Positioning System; Informatics; Trajectory; GPS-trajectory; closed pattern mining; computation geometry; spatio-temporal data; trajectory mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Applied Informatics (IIAIAAI), 2012 IIAI International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4673-2719-0
Type :
conf
DOI :
10.1109/IIAI-AAI.2012.21
Filename :
6337158
Link To Document :
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