# Eigenspace method for spatiotemporal hotspot detection

@article{FanaeeT2015EigenspaceMF,
title={Eigenspace method for spatiotemporal hotspot detection},
journal={Expert Systems},
year={2015},
volume={32},
pages={454 - 464}
}
• Published 13 June 2014
• Computer Science
• Expert Systems
Hotspot detection aims at identifying sub‐groups in the observations that are unexpected, with respect to some baseline information. For instance, in disease surveillance, the purpose is to detect sub‐regions in spatiotemporal space, where the count of reported diseases (e.g. cancer) is higher than expected, with respect to the population. The state‐of‐the‐art method for this kind of problem is the space–time scan statistics, which exhaustively search the whole space through a sliding window…

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