| 粗集理论在空间数据挖掘中的应用 |
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| 引用本文： | 罗予东,罗敏. 粗集理论在空间数据挖掘中的应用[J]. 计算机与现代化, 2006, 0(9): 77-80 |
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| 作者姓名： | 罗予东 罗敏 |
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| 作者单位： | 嘉应学院计算机科学与技术系,广东,梅州,514015;江西省计算技术研究所,江西,南昌,330002 |
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| 摘 要： | 粗集理论能支持数据挖掘与知识发现的多个步骤，如数据预处理、数据简化、规则生成、数据依赖关系获取等，为数据挖掘与知识发现提供了新的思路和方法。本文将粗集理论引入空间数据挖掘领域，介绍了粗集理论的基础理论和一系列方法，给出了应用实例，并探讨粗集理论在空间数据挖掘中的应用。
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| 关 键 词： | 粗集理论 数据挖掘 知识发现 空间数据 |
| 文章编号： | 1006-2475（2006）09-0077-04 |
| 收稿时间： | 2005-10-21 |
| 修稿时间： | 2005-10-21 |
Application of Rough Set Theory in Spatial Data Mining |
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| LUO Yu-dong,LUO Min. Application of Rough Set Theory in Spatial Data Mining[J]. Computer and Modernization, 2006, 0(9): 77-80 |
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| Authors: | LUO Yu-dong LUO Min |
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| Affiliation: | 1.Dept. of Computer Science and Technology ,Jiaying University, Meizhou 514015,China; 2.Jiangxi Institute of Computing Technology, Nanchang 330002,China |
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| Abstract: | Rough set theory has been successfully applied to many areas of data mining and knowledge discovery , including data pretreatment, data reduction, rule production, and acquirement of data dependence relationship, and provides a new idea and method for data raining and knowledge discovery. This paper introduces rough set theory into spatial data mining, studies the basic concepts and methods of rough set theory systemically, then gives an example of application,and finally summarizes the application of rough set theory in spatial data mining . |
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| Keywords: | rough set theory data mining knowledge discovery spatial data |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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