Apriori算法在ACViS中用户行为监测数据挖掘中的应用研究  

Application of Apriori Algorithm in User Action Monitoring Data Mining in Adaptive Cartographic Visualization System

作　　者：谢超[1] 陈毓芬[1] 王英杰[2] 

机构地区：[1]信息工程大学测绘学院,河南郑州450052 [2]中国科学院地理科学与资源研究所,北京100101

出　　处：《测绘学报》2010年第4期397-403,共7页Acta Geodaetica et Cartographica Sinica

基　　金：资源与环境信息系统国家重点实验室开放基金;国家自然科学基金(40671152)

摘　　要：建立初步的自适应地图可视化系统运行机制,对系统的各个模块进行详细分析。在此基础上,研究用户行为监测机制,提出利用Apriori关联规则实现用户行为数据库挖掘的思路,并改进Apriori关联算法,使之更加适用于ACViS。实例证明,挖掘出来的结论对ACViS设计者具有指导意义,也为用户模型的更新和修正提供依据。A preliminary operation mechanism of adaptive cartographic visualization system is established,and each system module is analyzed in detail.Based on the above analysis,the paper has studied the monitoring mechanism of user action,and has used extended apriori association rules to the mining of user action database to adapt for ACViS.The experimental results proved that the mining results were quite meaningful for ACViS designers and could provide basis for the renewal and modification of user model.

关 键 词：地图可视化系统 自适应 关联规则 APRIORI算法 数据挖掘 

分 类 号：P208[天文地球—地图制图学与地理信息工程]