The study of spatial outliers detection based on knowledge discovery and data mining

Authors:
Li Zhang;Zhong Qu
Affiliations:
Library Hezhou University, Hezhou Guangxi, China;College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Year:
2009

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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.