| 基于S-域的空间关联规则挖掘研究 |
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| 引用本文： | 杨晓梅,蓝荣钦,杨松.基于S-域的空间关联规则挖掘研究[J].测绘科学技术学报,2007,24(1):10-13,17. |
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| 作者姓名： | 杨晓梅 蓝荣钦 杨松 |
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| 作者单位： | 中国科学院,资源与环境信息系统国家重点实验室,北京,100101 |
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| 基金项目： | 国家重点基础研究发展计划(973计划)
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国家高技术研究发展计划(863计划) |
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| 摘 要： | 概括了空间关联规则挖掘的发展现状,引入空间共生域的概念,给出了相关论证,设计了详细的算法步骤.利用该方法可以分割地理连续体、实现数据的离散化处理,由此构造的空间数据库可以应用传统的Apriori算法.同时,针对共生域的异质性问题,给出了障碍距离的模糊隶属度公式.最后,结合应用实际进行挖掘,结果表明该方法适合于发现具有因果关系的空间实体之间的关联性知识.
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| 关 键 词： | 空间关联规则 共生域 模糊隶属度 |
| 文章编号： | 1673-6338（2007）01-0010-04 |
| 收稿时间： | 2006-09-01 |
| 修稿时间： | 2006-09-012006-11-23 |
Spatial Association Rules Mining Based on Symbiosis Neighborhood |
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| YANG Xiao-mei,LAN Rong-qin,YANG Song.Spatial Association Rules Mining Based on Symbiosis Neighborhood[J].Journal of Zhengzhou Institute of Surveying and Mapping,2007,24(1):10-13,17. |
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| Authors: | YANG Xiao-mei LAN Rong-qin YANG Song |
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| Institution: | 1 .State Key Laboratory of Resources and Environmental Information System, Chinese Academy of Sciences, Beijing 100101, China; 2.Institute of Surveying and Mapping, Information Engineering University, Zhengzhou 450052, China 3. Zhengzhou City Municipal Engineering Design and Research Institute, Zhengzhou 450052, China |
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| Abstract: | This paper firstly outlined the developing status of spatial association rule mining, then proposed a new concept called spatial symbiosis neighborhood, and proved the relative definitions. We designed the detailed algorithm and procedure. This method could be used to partition geographical continua and realize discrete processing of geographical data, and the constructed database could be mined by using the classical Apriori-algorithm. Also, in view of the heterogeneity of spatial distribution, we brought forth the fuzzy membership along obstacle path. Finally, by applying our method to practices, the result proved that this method was fit for finding the association knowledge among spatial objects with casual-effect relationship. |
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| Keywords: | spatial association rule symbiosis neighborhood fuzzy membership |
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