LI Guang-qiang; ZHENG Mao-yi; DENG Min
Depending on “k standard deviation” rule, a new Spatio-Temporal Outlier Detection(STOD) method is proposed, named as a Dual non-spatio-temporal attributes Deviation-based STO Detection(DDSTOD). For each time instant, in Spatial Neighborhoods(SN) of each feature, the rule is employed to judge whether the spatial feature is a spatial outlier, and all the spatial outliers form a spatial outlier set. In the Temporal Neighborhoods(TN) of each spatial outlier, the rule is utilized to check temporal outliers, too. All features which are outliers both in their SN and TN composite Spatio-Temporal Outliers set(STOs). Experimental results show this method is effective and feasible.