空间并置模式挖掘研究  

Research on Spatial Co-Locations Mining: A Survey

作　　者：吴萍萍[1] 王丽珍[1,2] 邓世昆[1] 刘玉娥[1] 

机构地区：[1]云南大学滇池学院理工学院计算机科学与工程系,云南昆明 [2]云南大学信息学院,云南昆明

出　　处：《计算机科学与应用》2018年第3期328-338,共11页Computer Science and Application

基　　金：云南省高校科技创新团队支持计划资助;云南省教育厅科研基金(No.2016ZZX304)资助。

摘　　要：由于移动电话、GPS、传感器和其他的无线设备的广泛使用,空间数据迅速增长。空间数据独特的复杂性以及其在现实中的广泛应用,使得空间数据挖掘成为一个很有前途的发展方向。而作为空间数据挖掘领域的重要任务之一,空间并置模式挖掘也受到越来越多的关注。空间并置模式挖掘旨在寻找其实例在邻近域中频繁地并置出现的空间特征。本文从挖掘的并置模式类型、挖掘方法和应用三个方面简要介绍空间并置模式挖掘的研究现状,并总结了研究中一些有趣的挑战。Due to the widespread use of mobile phones, GPS, sensors and other wireless devices, spatial data set is rapidly growing. The unique complexity and widely application in the real world make spatial data mining a promising field. As one of the important researches in spatial data mining, the spatial co-location pattern mining attracts more and more attention. Spatial co-location pattern mining aims to find the spatial features whose instances frequently co-located in neighborhood. We briefly introduce the current research of spatial co-location pattern mining from three aspects: type of co-location pattern, method of mining and application. At last, we conclude some interesting challenges in the field of co-location pattern mining.

关 键 词：空间模式挖掘 并置模式 算法 

分 类 号：G6[文化科学—教育学]