| 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]. 农业网络信息, 2008, 0(11) |
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| 作者姓名： | 姜丽华 张宏斌 |
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| 作者单位： | 中国农业科学院,农业信息研究所,北京,100081;中国农业科学院,农业资源和农业区划研究所,北京,1000811 |
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| 基金项目： | 公益型科研院所基本科研业务费专项资金，国家科技支撑资助项目 |
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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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| JIANG Li-hua,ZHANG Hong-bin. Research on key technologies of spatial data mining[J]. Agriculture Network Information, 2008, 0(11) |
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| Authors: | JIANG Li-hua ZHANG Hong-bin |
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| Affiliation: | JIANG Li-hua1,ZHANG Hong-bin2 |
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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 |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
