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关联规则在空间数据挖掘中的应用及实现 被引量：2

Application and Realization of Association Rules in Spatial Data Mining
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摘要 空间数据挖掘是从空间数据库中抽取隐含知识、空间关系及空间数据库中存储的其它信息的方法。空间关联规则是空间数据挖掘的一个重要研究领域,利用空间关联规则把空间数据库中的数据转化为知识是一个很好的方法。在分析空间关联规则的基础上,用基于关联规则的逐步求精挖掘算法,得出空间数据库中的隐含知识,通过实例证明其方法的可行性。 Spatial data mining is a method that gets connotative knowledge, spatial relationship and other information in spatial database. Spatial association rule discovery in spatial data＇base is a very important resereh field. A spatial association rule is a rule indicating certain association relationship among a set of spatial predicates. In this paper, based on analyzing spatial association rules, an efficient method for mining spatial association rules with spatial analysis in geographic information databases is proposed.
作者 张建峰 王泳 王剑
机构地区 江西理工大学信息工程学院
出处 《计算机技术与发展》 2007年第8期208-211,共4页 Computer Technology and Development
基金 国家自然科学基金资助项目(40401045)
关键词 空间数据挖掘 关联规则 ARCOBJECTS spatial data mining association rules ArcObjects
分类号 TP311.13 [自动化与计算机技术—计算机软件与理论]
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参考文献4

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二级参考文献10

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共引文献5

同被引文献21

  • 1何彬彬,郭达志,方涛.基于空间统计学的空间关联挖掘[J].计算机工程,2006,32(5):20-22. 被引量：8
  • 2王佐成,汪林林,薛丽霞,李永树.空间关联规则的双向挖掘[J].计算机科学,2006,33(7):199-203. 被引量：11
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  • 5Chen Jiangping,Tan Xiaojin.Mining Spatial Associa-tion Rules with Geostatistics. Proceedings of the8th International Symposium on Spatial Accuracy As-sessment in Natural Resources and Environmental Sci-ences . 2008
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计算机技术与发展
2007年 第8期

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