Computer Science ›› 2014, Vol. 41 ›› Issue (Z6): 425-428.

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Algorithm of Mining Spatial Co-location Patterns Based on Weighted Euclidean Distance

ZHOU Jian-yun,WANG Li-zhen and YANG Zeng-fang   

  • Online:2018-11-14 Published:2018-11-14

Abstract: The spatial Co-location pattern mining concerns about occurrence relationship of spatial objects’ instances at the same time in a certain area.Most of the papers studied based on the spatial objects’ instances have the same weight,but in reality it is easy to find that the different instances of the same type of object probably has different size,different importance,or different influence.In this paper,we consider the influence factors of the spatial objects’ instances.A concept of the weighted Euclidean distance was introduced and corresponding mining algorithm was designed,in order to find more valuable spatial co-location rules.

Key words: Spatial data mining,Co-location pattern mining,Weighted euclidean distance

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