| 点对象的多尺度空间关联规则挖掘算法研究 |
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| 引用本文： | 陈江平,李平湘. 点对象的多尺度空间关联规则挖掘算法研究[J]. 计算机应用, 2004, 24(7): 18-21 |
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| 作者姓名： | 陈江平 李平湘 |
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| 作者单位： | 武汉大学,遥感信息工程学院,湖北,武汉,430079;武汉大学,测绘遥感信息工程国家重点实验室,湖北,武汉,430079 |
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| 基金项目： | 武汉大学青年博士科技创新科技基金资助项目 |
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| 摘 要： | 由于空间数据的多尺度性，在多尺度的空间数据中也存在概念层次关系。文中根据从小尺度的空间关联规则推导大尺度空间关联规则的思想，提出了一种点对象在多尺度的空间数据中生成概念层次关系的算法。实验表明，算法是有效的。
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| 关 键 词： | 数据挖掘 空间关联规则 点对象 多尺度 |
| 文章编号： | 1001-9081(2004)07-0018-04 |
Research on Multi-scale Spatial Association Rule Mining of Point Object |
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| CHEN Jiang ping ,LI Ping xiang. Research on Multi-scale Spatial Association Rule Mining of Point Object[J]. Journal of Computer Applications, 2004, 24(7): 18-21 |
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| Authors: | CHEN Jiang ping LI Ping xiang |
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| Affiliation: | CHEN Jiang ping 1,LI Ping xiang 2 |
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| Abstract: | Since spatial data has the feature of multi scale, the spatial concept layer relations also have the feature of multi scale. The paper provides an idea that the small scale spatial association can be gained from the big scale ones by analyzing computing and merging in the perfect multi scale association rules mining system. An idea of gaining the big scale spatial association rules from the small scale spatial association rules is also expressed. The algorithm of judging the similitude between the point objects is offered. From the experiment, it is proved that the algorithm is effective. |
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| Keywords: | data mining spatial association rules point object multi-scale |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
