Abstract: This paper proposes an algorithm: meta-rule-guided mining multiple-level spatial association rules based on progressive refinement. This algorithm adopts some technologies such as top-down, progressive refinement and meta-rule. Finally, to introduce the application of this algorithm, take it as an example to mining the spatial association relation between the prices of sesame in the products markets and the locations of railways, national highways and rivers.

摘要： 提出了元规则指导下逐步求精的多层空间关联规则挖掘算法，该算法采用了自顶向下、逐步求精以及元规则等技术。文章最后以挖掘农产品市场的芝麻价格与铁路、国道和河流间的空间关联关系为例，介绍此算法的应用。

关键词: 空间数据挖掘, 空间关联规则, 元规则, 概念树

CLC Number: 

• TP311.13