@inproceedings{486a0742736249d890426334551e2010,
title = "Predicting user's movement with a combination of self-organizing map and Markov model",
abstract = "In the development of location-based services, various location-sensing techniques and experimental/commercial services have been used. We propose a novel method of predicting the user's future movements in order to develop advanced location-based services. The user's movement trajectory is modeled using a combination of recurrent self-organizing maps (RSOM) and the Markov model. Future movement is predicted based on past movement trajectories. To verify the proposed method, a GPS dataset was collected on the Yonsei University campus. The results were promising enough to confirm that the application works flexibly even in ambiguous situations.",
author = "Han, {Sang Jun} and Cho, {Sung Bae}",
year = "2006",
doi = "10.1007/11840930_92",
language = "English",
isbn = "3540388710",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "884--893",
booktitle = "Artificial Neural Networks, ICANN 2006 - 16th International Conference, Proceedings",
address = "Germany",
note = "16th International Conference on Artificial Neural Networks, ICANN 2006 ; Conference date: 10-09-2006 Through 14-09-2006",
}