| 1. | The spatial association rule mining module can discover the location association among geographic objects in a map
空间关联规则挖掘模块能够发现地图上的各种地理对象之间的位置关联关系。 |
| 2. | The article introduces the common way of applying data mining technology in spatial database , especially spatial association rule - based spatial data mining arithmetic
摘要介绍了数据挖掘在空间数据库中应用的一般方法，特别介绍了关联规则数据挖掘的方法应用于空间数据库。 |
| 3. | In the mining of spatial association rules , a simple method defining transactions in spatial data is adapted , which can keep the location relationship among spatial data and is easy to compute
在挖掘空间关联规则时，本文采用了一种简单的在空间数据中定义事务的方法，该方法能够较好的保持空间数据之间的空间位置关系并且易于计算。 |
| 4. | ( 3 ) the definition of spatial association rule is defined as the spatial and non - spatial relations between spatial objects . the forms of spatial association rule are abundant . two important types of spatial association rule are studied
( 3 )提出空间关联规则主要指空间对象之间的空间和非空间关系，指出空间关联规则的形式十分丰富，重点研究了两种形式的空间关联规则的挖掘。 |
| 5. | In the same time , spatial association rules is one of the upmost knowledge rules in the result of spatial data mining . it emphasizes particularly on confirming the relation of data in different fields . it tries to find out the dependence of data in multi - fields
同时空间关联规则是空间数据挖掘结果的一种最主要的知识规则，它侧重于确定数据中不同领域之间的联系，找出满足给定支持度和可信度阈值的多个域之间的依赖关系。 |
| 6. | After understanding well the association rules , an improved apriori arithmetic : mbar ( ( map - based association rule mining ) , has been developed and tested in the paper . 4 . we analyze the general theories of spatial association rules , especially bring out a multiple - level spatial association rules arithmetic
在充分理解理论基础上，文中提出了一种改进的关联规则算法：一种基于映射技术的关联规则采掘算法mbar ，并进行简单的测试，验证算法的有效性。 |
| 7. | In this paper , data mining techniques based on spatial database , especially gis database , are studied , of which spatial data classification based on rough set theory and spatial association rule mining are studied in detail . the differences between mining in spatial database and in relational database are analyzed
本文以基于空间数据库特别是gis数据库的数据挖掘技术为研究对象，主要研究了基于rough集理论的空间数据分类和空间关联规则挖掘技术，分析了在空间数据库与在关系数据库中进行数据挖掘的区别。 |
| 8. | Firstly , the notion of the form as a = > b [ s % , c % ] is researched and some algorithms are discussed . an algorithm named a progressive refinement approach to spatial data mining is discussed in detail . and a new thought of mining spatial association rule based on spatial data cube is brought forward
阐述了a = > b [ s ， c ]形式的空间关联规则的基本概念和算法，详细研究了一种逐步求精的空间关联规则挖掘算法的实现；提出一种基于空间数据立方体的空间关联规则挖掘的新思路；将空间统计分析引入空间关联规则挖掘领域，研究了空间权重矩阵、空间自相关、空间关联等的度量函数，并利用空间统计分析技术发现空间相关关系和空间关联规则。 |
| 9. | On the basis of studying spatial data mining method , a spatial data mining system is designed and realized , which can obtain spatial association rules and spatial classification rules from gis database . the system consists of two modules engaged in mining spatial association rules and spatial classification rules separately
在研究空间数据挖掘方法的基础上设计并实现了一个用于从gis数据库中挖掘空间关联规则和进行空间数据分类的空间数据挖掘系统，该系统可分为两个模块，分别进行空间关联规则挖掘和空间数据分类。 |
