@inproceedings{806356871e504b28b815a1dc3e6667e5,
title = "FlowMiner: Finding flow patterns in spatio-temporal databases",
abstract = "The widespread use of spatio-temporal databases and applications have fuelled an urgent need to discover interesting time and space patterns in such databases. While much work has been done in discovering time/sequence patterns or spatial patterns, discovering of patterns involving both time and space dimensions is still in its infancy. In this paper, we introduce the concept of flow patterns. Flow patterns are intended to describe the change of events over space and time. These flow patterns are useful to the understanding of many real-life applications. We present a disk-based algorithm, FlowMiner, which utilizes temporal relationships and spatial relationships amid events to generate flow patterns. Our performance study shows that FlowMiner is both scalable and efficient. Experiments on real-life datasets also reveal interesting flow patterns.",
author = "Junmei Wang and Wynne Hsu and Lee, {Mong Li} and Jason Wang",
year = "2004",
doi = "10.1109/ICTAI.2004.63",
language = "English (US)",
isbn = "076952236X",
series = "Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI",
pages = "14--21",
editor = "T.M. Khoshgoftaar",
booktitle = "Proceedings - 16th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2004",
note = "Proceedings - 16th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2004 ; Conference date: 15-11-2004 Through 17-11-2004",
}