| 空间数据挖掘关键问题研究 |
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| 引用本文： | 姜丽华,;张宏斌. 空间数据挖掘关键问题研究[J]. 计算机与农业, 2008, 0(11): 42-44 |
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| 作者姓名： | 姜丽华, 张宏斌 |
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| 作者单位： | [1]中国农业科学院农业信息研究所,北京100081; [2]中国农业科学院农业资源和农业区划研究所,北京100081 |
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| 基金项目： | 基金项目：公益型科研院所基本科研业务费专项资金（08211）,国家科技支撑资助项目（2006BAD10A12） |
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| 摘 要： | 信息化的发展使得更多的空间数据被利用,因此获取空间知识也越来越重要和有意义,并使得空间数据挖掘成为一个很有前途的研究领域。本文着重阐述了空间关联规则、空间分类规则、Rough集理论和空间数据挖掘结果的可视化问题,最后探讨了空间数据挖掘的未来发展方向。
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| 关 键 词： | 空间数据挖掘 空间分类规则 空间关联规则 ROUGH集 |
Research on key technologies of spatial data mining |
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| Affiliation: | JIANG Li-hua,ZHANG Hong-bin (1. Agriculture Information Institute, Chinese Academy of Agriculture Sciences, Beijing 100081, China; 2.Institute of Natural Resources and Regional Planning, Chinese Academy of Agriculture Sciences, Beijing 100081, China) |
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| Abstract: | More and more spatial data are used with the development of the information, therefore, obtaining the spatial knowledge becomes more and more important and meaningful and this makes spatial data mining becomes a promising research field. This paper discusses the spatial association rules, spatial classification rules, Rough set and the visualization of the results of spatial data mining. Finally, the future directions of spatial data mining are discussed. |
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| Keywords: | Spatial data mining Spatial classification rules Spatial association rules Rough set |
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