基于云南气象数据的空间关联规则挖掘  

Discovery of Spatial Association Rules Based on the Meteorological Data of Yunnan Province

作　　者：何婧[1] 王丽珍[1] 邹力鹍[1] 

机构地区：[1]云南大学信息学院计算机科学与工程系,昆明650091

出　　处：《计算机工程与应用》2003年第34期187-190,共4页Computer Engineering and Applications

基　　金：云南省自然科学基金(编号:2002F0013M)

摘　　要：空间关联规则挖掘可以深入发现现实世界大量空间谓词和非空间谓词之间的特定空间关系。论文结合气象数据的特点和已有传统关联规则挖掘算法的优点,针对云南气象数据提出了一种基于项目序列集的空间关联规则挖掘算法。通过严格的算法分析和具体实验表明,该算法是有效、可行的。Mining spatial association rules can discover the special spatial relationship between spatial predicate and nonspatial predicate.In this paper,the characters of meteorological data and the advantages of algorithm for mining traditional association rules have been discussed, and a sequence-based algorithm for the discovery of spatial association rules has been proposed which aimed at the meteorological data of Yunnan province.Through the analysis of the algorithm and specific experiment, it is shown that the algorithm in this paper is effective and viable.

关 键 词：空间数据挖掘 空间关联规则 项目序列集 最大频繁项目集 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]