@inproceedings{46378fa11df54b01b78d3cf4c69e7f76,
title = "Semantic trajectory mining for location prediction",
abstract = "Research on predicting movements of mobile users has attracted a lot of attentions in recent years. Many of those prediction techniques are developed based only on geographic features of mobile users' trajectories. In this paper, we propose a novel approach for predicting the next location of a user's movement based on both the geographic and semantic features of users' trajectories. The core idea of our prediction model is based on a novel cluster-based prediction strategy which evaluates the next location of a mobile user based on the frequent behaviors of similar users in the same cluster determined by analyzing users' common behavior in semantic trajectories. Through a comprehensive evaluation by experiments, our proposal is shown to deliver excellent performance.",
keywords = "data mining, semantic prediction, trajectory database, trajectory pattern",
author = "Ying, {Josh Jia Ching} and Lee, {Wang Chien} and Weng, {Tz Chiao} and S. Tseng",
year = "2011",
doi = "10.1145/2093973.2093980",
language = "English",
isbn = "9781450310314",
series = "GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems",
pages = "34--43",
booktitle = "19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2011",
note = "19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2011 ; Conference date: 01-11-2011 Through 04-11-2011",
}