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