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DoSTra: Discovering common behaviors of objects using the duration of staying on each location of trajectories

conference contribution
posted on 2015-01-01, 00:00 authored by L Guo, Guangyan HuangGuangyan Huang, X Gao, J He, B Wu, H Guo
Since semantic trajectories can discover more semantic meanings of a user's interests without geographic restrictions, research on semantic trajectories has attracted a lot of attentions in recent years. Most existing work discover the similar behavior of moving objects through analysis of their semantic trajectory pattern, that is, sequences of locations. However, this kind of trajectories without considering the duration of staying on a location limits wild applications. For example, Tom and Anne have a common pattern of Home→Restaurant → Company → Restaurant, but they are not similar, since Tom works at Restaurant, sends snack to someone at Company and return to Restaurant while Anne has breakfast at Restaurant, works at Company and has lunch at Restaurant. If we consider duration of staying on each location we can easily to differentiate their behaviors. In this paper, we propose a novel approach for discovering common behaviors by considering the duration of staying on each location of trajectories (DoSTra). Our approach can be used to detect the group that has similar lifestyle, habit or behavior patterns and predict the future locations of moving objects. We evaluate the experiment based on synthetic dataset, which demonstrates the high effectiveness and efficiency of the proposed method.

History

Event

AAAI Conference on Artificial Intelligence: Workshop 15-14 (29th : 2015 : Austin, Texas)

Pagination

9 - 17

Publisher

Association for the Advancement of Artificial Intelligence (AAAI)

Location

Austin, Texas

Place of publication

Palo Alto, Calif.

Start date

2015-01-25

End date

2015-01-30

ISBN-13

9781577357254

Language

Eng

Publication classification

E Conference publication; E1 Full written paper - refereed

Copyright notice

2015, Association for the Advancement of Artificial Intelligence

Title of proceedings

AAAI 2015 : Proceedings from the AAAI Conference on Artificial Intelligence Workshop

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