Show simple item record

dc.creatorGrekousis, G.en
dc.creatorFotis, Y. N.en
dc.date.accessioned2015-11-23T10:29:12Z
dc.date.available2015-11-23T10:29:12Z
dc.date.issued2012
dc.identifier10.1007/s10707-011-0145-4
dc.identifier.issn1384-6175
dc.identifier.urihttp://hdl.handle.net/11615/28209
dc.description.abstractThe detection of spatial outliers helps extract important and valuable information from large spatial datasets. Most of the existing work in outlier detection views the condition of being an outlier as a binary property. However, for many scenarios, it is more meaningful to assign a degree of being an outlier to each object. The temporal dimension should also be taken into consideration. In this paper, we formally introduce a new notion of spatial outliers. We discuss the spatiotemporal outlier detection problem, and we design a methodology to discover these outliers effectively. We introduce a new index called the fuzzy outlier index, FoI, which expresses the degree to which a spatial object belongs to a spatiotemporal neighbourhood. The proposed outlier detection method can be applied to phenomena evolving over time, such as moving objects, pedestrian modelling or credit card fraud.en
dc.sourceGeoinformaticaen
dc.source.uri<Go to ISI>://WOS:000300159500007
dc.subjectSpatiotemporal outliersen
dc.subjectFuzzy logicen
dc.subjectComputer Science, Information Systemsen
dc.subjectGeography, Physicalen
dc.titleA fuzzy index for detecting spatiotemporal outliersen
dc.typejournalArticleen


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record