An Algorithm about Spatial Association Rule Mining Based on Thematic

CHEN Jiang-ping~1; LI Ping-xiang~2

doi:10.11834/jrs.20060344

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An Algorithm about Spatial Association Rule Mining Based on Thematic
Issue 3, Pages: 289-293(2006)
Published：2006
DOI： 10.11834/jrs.20060344
稿件说明：

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[1]陈江平,李平湘.一种面向主题的基于多层次空间概念关系的关联规则挖掘算法[J].遥感学报,2006(03):289-293. DOI： 10.11834/jrs.20060344.

CHEN Jiang-ping~1, LI Ping-xiang~2. An Algorithm about Spatial Association Rule Mining Based on Thematic[J]. Journal of Remote Sensing, 2006, (3): 289-293. DOI： 10.11834/jrs.20060344.

摘要

提出了一种面向主题的基于多层次空间概念的关联规则挖掘算法FT

LSAM。在FT

LSAM算法中

先根据用户感兴趣的主题确定挖掘的概念关系

然后对所涉及的多个空间数据层进行连接

生成空间视图

最后进行属性泛化

转化成一般属性关联规则的挖掘

实验证明算法是有效的。

Abstract

In this paper

an algorithm of mining multi-level spatial association rules is presented which’s based on theme.We called the algorithm as FT

LSAM in the paper.In FT

LSAM

it first constructs the concept relation based on the thems on which the user is interested.Second

it joins the spatial layers which are used in the data mining.Last it turns spatial association mining into association mining by attribute generalizing.It is proved right from the experiment.

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Spatial Association Rule Mining from GIS Database

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Agricultural monitoring and early warning in the era of big data

The Remote Sensing Image Classification Research Based on Mining Classification Rules on the Spatial Database

相关机构

Nanjing Institute of Geography and Limnology,CAS

Dept.of Urban & Resources Science,Nanjing University

School of Space Science and Physics, Shandong Provincial Key Laboratory of Optical Astronomy & Solar-Terrestrial Environment, Shandong University

School of Mechanical, Electrical & Information Engineering

School of Earth Exploration Science and Technology, Jilin University

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