CAJ | 학술논문

解决空间数据挖掘的关联规则提取问题。通过应用GIS（Geographic Information System）即地理信息系统，获得空间数据信息，并将空间数据构造概念格，使空间数据和概念格的形成、分析过程统一起来。以“紧致依赖”方法作为主要数据挖掘手段，并在此基础上提出一种基于Apriori剪枝的“紧致依赖”约减方法，从而方便快捷找出满足支持度阈值并且置信度为1的所有关联规则。
해결공간수거알굴적관련규칙제취문제。통과응용GIS（Geographic Information System）즉지리신식계통，획득공간수거신식，병장공간수거구조개념격，사공간수거화개념격적형성、분석과정통일기래。이“긴치의뢰”방법작위주요수거알굴수단，병재차기출상제출일충기우Apriori전지적“긴치의뢰”약감방법，종이방편쾌첩조출만족지지도역치병차치신도위1적소유관련규칙。
The article focuses on solving the problems of spatial data mining and association rules extraction.By applying GIS (geographic information system),we obtain the information of spatial data and use the data to construct concept lattice,which makes the formation and analysis process in regard to spatial data and concept lattice to be unified.We use the compact dependence as the main means of data mining, and on this basis propose an Apriori pruning-based compact dependent reduction algorithm,therefore conveniently and efficiently find out all the association rules meeting the support threshold and with confidence degree of 1 as well.