| 基于统计归纳学习的GIS属性数据挖掘 |
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| 引用本文： | 吕安民,李成名,等.基于统计归纳学习的GIS属性数据挖掘[J].测绘学院学报,2001,18(4):290-293. |
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| 作者姓名： | 吕安民 李成名 |
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| 作者单位： | [1]武汉大学遥感信息与工程学院，湖北武汉430079 [2]中国测绘科学研究院，北京100039 |
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| 摘 要： | 将统计分析方法和面向属性的归纳方法结合起来，形成了一种应用面比较广的统计归纳学习方法，可以用于GIS属性数据挖掘。同时提出GIS属性数据挖掘可以分为3个层次，包括从数据生成新的数据，从数据产生模型和从归纳出知识，由原始数据生成数据，可以得出变量之间粗浅的关系，从数据推导出的模型，可以定量描述变量之间的关系，由数据挖掘出的知识，可以揭示客观世界的普遍性规律。
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| 关 键 词： | 数据挖掘 知识发现 统计分析 面向属性归纳 GIS 地理信息系统 |
GIS Attribute Data Mining With Statistical Inductive Learning |
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| LU An min ,LI Cheng ming ,LIN Zong jian ,WANG Jia yao.GIS Attribute Data Mining With Statistical Inductive Learning[J].Journal of Institute of Surveying and Mapping,2001,18(4):290-293. |
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| Authors: | LU An min LI Cheng ming LIN Zong jian WANG Jia yao |
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| Institution: | LU An min 1,2,LI Cheng ming 2,LIN Zong jian 2,WANG Jia yao 3 |
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| Abstract: | A statistical inductive learning approach is proposed to investigate GIS attribute data mining. This approach integrates statistical analysis with attribute oriented induction method. GIS attribute data mining is divided into three hierarchies: from raw data to new data, from data to model and from data to knowledge. From raw data to new data can help us to know rough relation between two variables. From data to model can describe relations of dependent variables and independent variables with ration. From data to knowledge can obtain general rules in high levels. An experiment on agricultural statistical data of China mainland shows that the statistical inductive learning approach is effective for GIS attribute data mining. |
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| Keywords: | data mining and knowledge discovery statistics analysis attribute oriented induction |
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