Discretized Spatio-Temporal Scan Window

dc.contributor.authorMohammadi, Seyed H.
dc.contributor.authorJaneja, Vandana
dc.contributor.authorGangopadhyay, Aryya
dc.date.accessioned2020-11-12T19:41:16Z
dc.date.available2020-11-12T19:41:16Z
dc.date.issued2009
dc.description.abstractThe focus of this paper is the discovery of anomalous spatio-temporal windows. We propose a Discretized Spatio-Temporal 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 Spatio-Temporal 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 spatio-temporal 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.en_US
dc.description.urihttps://epubs.siam.org/doi/abs/10.1137/1.9781611972795.102en_US
dc.format.extent12 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.identifierdoi:10.13016/m2kyqg-fsyc
dc.identifier.citationMohammadi, Seyed H.; Janeja, Vandana P.; Gangopadhyay, Aryya; Discretized Spatio-Temporal Scan Window; Proceedings of the 2009 SIAM International Conference on Data Mining (2009); https://epubs.siam.org/doi/abs/10.1137/1.9781611972795.102en_US
dc.identifier.urihttps://doi.org/10.1137/1.9781611972795.102
dc.identifier.urihttp://hdl.handle.net/11603/20038
dc.language.isoen_USen_US
dc.publisherSIAM Publicationsen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectanomalousen_US
dc.subjectspatio-temporal windowsen_US
dc.subjectdiscretizeden_US
dc.subjectspatial patternsen_US
dc.titleDiscretized Spatio-Temporal Scan Windowen_US
dc.typeTexten_US

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