Title :
The Study of Spatial Outliers Detection Based on Knowledge Discovery and Data Mining
Author :
Zhang, Li ; Qu, Zhong
Author_Institution :
Libr., Hezhou Univ., Hezhou, China
Abstract :
This paper proposes spatial outliers detection method of studying multiple non-spatial attributes based on special objects. The spatial outliers detection algorithm based on the Mahalanobis distance is proposed in this paper. The simulated experiment results demonstrate this method is feasible and effective, simultaneously the time complexity of center algorithm is analysed. Except the research type mentioned, spatial outliers detection still includes time-order data and time-space data outliers detections, which are related to the attribute values of other neighbors.
Keywords :
data mining; visual databases; Mahalanobis distance; data mining; knowledge discovery; spatial outliers detection; time complexity; time-order data; time-space data; Analytical models; Data mining; Detection algorithms; Fuzzy systems; Graph theory; Libraries; Object detection; Scattering; Spatial databases; Testing; Mahalanobis Distance; Spatial Outliers Detection Algorithm; Time-Order Data; Time-Space Data;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.595