Fuzzy spatial data mining

被引：2
|
作者：
Smith, GB [1 ]
Bridges, SM [1 ]
机构：
[1] Mississippi State Univ, Dept Comp Sci, Mississippi State, MS 39762 USA
来源：
2002 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY PROCEEDINGS | 2002年
关键词：
data mining; spatial relations; fuzzy data mining; association rules; spatial data mining;
D O I：
10.1109/NAFIPS.2002.1018052
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A fuzzy spatial data mining technique has been developed to extract relationships describing relative position of classes of objects from raster images. Several different rule forms are described which represent different types of directional relationships between classes of objects. The method has been tested with hand-generated, synthetic, and sonar imagery.
引用
收藏
页码：184 / 189
页数：6
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