| 基于多最小支持度的空间关联规则发现 |
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| 引用本文： | 吴安阳,赵卫东.基于多最小支持度的空间关联规则发现[J].计算机应用,2005,25(9):2171-2174. |
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| 作者姓名： | 吴安阳 赵卫东 |
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| 作者单位： | 同济大学CAD中心,上海,200092;同济大学CAD中心,上海,200092 |
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| 基金项目： | 上海市科学技术委员会科研计划项目（042112060） |
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| 摘 要： | 空间关联规则挖掘可应用于发现空间数据库中大量空间谓词与非空间谓词之间的特定空间关系。论文针对区县道路交通数据提出了一种基于多最小支持度的空间关联规则挖掘算法,并给出了在GIS中进行空间关联规则挖掘的一般方法和流程。该挖掘算法可以从城市道路地理信息数据库中发现用户感兴趣的空间关联规则,经实际应用于城市道路规划管理系统,证明该算法是有效、可行的。
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| 关 键 词： | 空间关联规则 GIS 空间聚类 多最小支持度 最大频繁项目集 |
| 文章编号： | 1001-9081（2005）09-2171-04 |
| 收稿时间： | 2005-03-02 |
| 修稿时间： | 2005-03-022005-07-26 |
Discovery of spatial association rules based on multiple minimum supports |
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| WU An-yang,ZHAO Wei-dong.Discovery of spatial association rules based on multiple minimum supports[J].journal of Computer Applications,2005,25(9):2171-2174. |
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| Authors: | WU An-yang ZHAO Wei-dong |
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| Affiliation: | CAD Center,Tongji University,Shanghai 200092,China |
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| Abstract: | Mining spatial association rules can be predicate and nonspatial predicate in the spatial database. used to discover the special spatial relationship between spatial A multiple minimum supports-based algorithm for the discovery of spatial association rules was proposed, aiming at the read information of downtown area, and the general method of mining spatial association rules in GIS was presented. The algorithm can find the spatial association rules which users are interested in from city read geographical information database. Through the application in the city road planning and management system, the algorithm is proved to be effective and viable. |
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| Keywords: | spatial association rules GIS spatial clustering multiple minimum supports maximum frequent itemset |
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