The focus of this paper is the discovery of anomalous spatio-temporal windows. We propose a Discretized SpatioTemporal Scan Window approach to address the question of how we can treat Space and Time together without compromising on the properties of each and their impact on each other. In doing so we discover anomalous SpatioTemporal windows, identify at what point in time the window changes, identify the spatial patterns of change over time and identify a spatial extent in time which is completely deviant with respect to the rest of the anomalous spatiotemporal windows. None of the current approaches address all these issues in combination. Subsequently we perform experiments on several real world datasets to validate our approach while comparing with the established approach of discovering a cylindrical spatio-temporal Scan window.
Aryya Gangopadhyay, Seyed H. Mohammadi, Vandana Pu