摘要
为了进一步挖掘隐藏在销售数据背后的销售知识，本文在SQLServer中建立了汽车销售数据立方体，利用微软决策树算法分别建立的三个决策树模型。开发了符合OLEDB For DM规范的应用程序，结果显示分类正确率在85％以上。
Be to excavate the knowledge concealing marketing selling data back in large amount of automobile,in this paper, The author has built the data cube of automobile sales in SQL Server,make use of the three decision-makings tree model that the Microsoft decision-making tree algorithm builds respectively. Have developed the application according with OLE DB for DM norm, bear fruit above 85% demonstrating classification rightness rate.
作者
房华蓉
张毅
FANG Hua-rong, ZHANG Yi （Ningbo SNTN Technology Co.,Ltd,Ningbo 315100 China Zhejiang Wanli University,Ningbo 315100,China）
出处
《电脑知识与技术》
2007年第2期1045-1046,1068,共3页
Computer Knowledge and Technology
