Chunrui Wu1, Junfeng Tian1,*
1. school of Information Sciences and Technology, Jiujiang University, Jiujiang332000, China
*Corresponding author e-mail:[email protected]
With the advancement of mobile device and localization technology, the collection of Spatio-Temporal information from moving objects become much easier and easier than before, and outlier detection for Spatio-Temporal data is becoming increasingly attractive in data mining community. Frankly speaking, aSpatial-Temporal outlier is an observation whose attribute value significantly differ from those of other spatially and temporally referenced objects in a Spatio-Temporal neighbor.Discovering STOD is an important problem with many applications such as geological disaster monitoring, geophysical exploration, public safety and health etc. This paper has a briefly introduction of most popular Spatio-Temporal outlier detection methods in recent two decades and list, explain two most useful algorithms to STOD. We also discuss the methods of the spatial outlier detection and temporal outlier detection before the main content for the aim of having a better understand of data outlier detection field. Three tables show the visualized result of our research.
Spatio-Temporal data; outlier detection; survey; data mining
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