基于Cube的数据展现结构的研究  

Research of multi-direction decomposition tree

作　　者：陈磊[1] 孙四明[1] 董碧丹[1] 

机构地区：[1]中国航天工程咨询中心,北京100048

出　　处：《计算机工程与设计》2011年第9期3041-3044,共4页Computer Engineering and Design

摘　　要：为了为用户提供合适的OLAP可视化工具,研究了OLAP可视化技术的范围和概念,并研究了OLAP可视化技术的研究现状。重点研究了分解树技术的内容以及拓展,根据分解树的优点和缺点提出了新的OLAP可视化技术:多角度增强分解树。该技术可从两个方面对OLAP数据进行钻取,其中提出的多角度钻取,通过不同的角度来对比观察数据,提高了模式发现能力。针对该技术,设计了系统架构,确定了系统流程,完成了系统的开发。最后对OLAP可视化研究的前景进行了总结。To provide the clients with visual OLAP tools,the concept,scale and current situation of OLAP visualization techniques are studied.The focus is given to the content and development of decomposition trees.Based on the advantages and disadvantages of decomposition trees,a new OLAP visualization technique is proposed： multi-direction enhanced decomposition tree which can be used for drill-down of OLAP data from two aspects.The multi-direction drill-down enhances the ability of pattern recognition via multi-direction observation and comparison of data.Then the system architecture is designed with clarified system procedure and the system is developed.In the end,the outlook of the OLAP visualization research is given.

关 键 词：OLAP可视化 信息可视化 多维数据集 多角度增强分解树 数据仓库 商业智能 

分 类 号：TP315[自动化与计算机技术—计算机软件与理论]