决策树与数据仓库结合的研究与应用  

Research and Application of Combination Between Decision Tree and Data Warehouse

作　　者：沈学利[1] 钟华[1] 

机构地区：[1]辽宁工程技术大学电子与信息工程学院,辽宁葫芦岛125105

出　　处：《计算机工程》2011年第11期89-91,共3页Computer Engineering

摘　　要：针对决策树因生长而导致的占用存储空间大、查询速度慢、提供分类决策信息失误率高等弊端,研究数据挖掘中决策树与数据仓库的理论共性,提出将决策树与数据仓库相结合,包括表示方法的结合和基于OLAP操作的结合,以达到提供全新决策支持的目的。应用结果证明了该结合的可行性与优越性。To the common of decision tree and data warehouse in the data mining field,this paper creatively combines both of them.In order to provide fully decision support,it includes combination of representation and operation based on Online Analytical Processing（OLAP）.After adopting the combination,the problems such as high storage occupation,low query speed and high error probability of classified decision information which resulted from decision tree＇s increasing are conquered.After applying this combination to some travel agency＇s client information database,this project turns out a affirmative feasibility and superiority.

关 键 词：数据挖掘 决策树 数据仓库 决策支持 联机分析处理 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]