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空间关联规则挖掘技术的研究及应用

陆新慧 吴陈 杨习贝

计算机技术与发展Issue(5):26-29,33,5.
计算机技术与发展Issue(5):26-29,33,5.DOI:10.3969/j.issn.1673-629X.2013.05.007

空间关联规则挖掘技术的研究及应用

Research and Application of Spatial Association Rules Mining Technology

陆新慧 1吴陈 1杨习贝1

作者信息

  • 1. 江苏科技大学 计算机科学与工程学院,江苏 镇江 212003
  • 折叠

摘要

Abstract

Spatial data mining (SDM) refers to picking up interesting rules from spatial database,such as spatial patterns and characteris-tics,the universal relations of spatial and non-spatial data and other universal implicated in spatial data. Introduce the spatial data mining and the spatial association rules technology first. Based on the shortage of the traditional association rule mining method,propose three al-gorithms for spatial association rules including spatial topological relation based mining method,spatial distance based mining method and spatial direction based mining method,which was proved to be effective through the experiment. Finally,made the analysis and forecast to the possible direction of future research.

关键词

空间数据挖掘/空间关联规则/拓扑关系/距离关系/方向关系

Key words

spatial data mining/spatial association rule/topological relation/distance relation/direction relation

分类

信息技术与安全科学

引用本文复制引用

陆新慧,吴陈,杨习贝..空间关联规则挖掘技术的研究及应用[J].计算机技术与发展,2013,(5):26-29,33,5.

基金项目

江苏省自然科学基金(BK2011492) (BK2011492)

计算机技术与发展

OACSTPCD

1673-629X

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