摘要
文章首先对Sql Server 2008商业智能平台及决策树技术相关理论作了介绍,然后对挖掘数据源数据进行了一系列预处理。利用Sql Server 2008商业智能平台下的决策树技术并采用数据挖掘扩展语言即DMX语言创建了CET-4成绩分析决策树模型。分类矩阵和挖掘提升图分别对该模型的评估结果表明了模型具有较高的可靠性和分类准确度,同时模型对应的一些规则可作为英语教学管理和改革的重要参考依据。
The paper first introduces basic theory about Sql Server 2008 business intelligence platform and decision tree technology,and then preprocessing on data source.Using decision tree technology in Sql Server 2008 Business Intelligence platform,and data mining extension language（DMX） language to create the decision tree model of CET-4 score analysis.The evaluation results show that the model has high reliability and classification accuracy by using classification matrix and mining enhance figure,meanwhile,these rules corresponding to the model can be used as important reference for management and reform of English teaching.
出处
《计算机与数字工程》
2012年第6期61-64,共4页
Computer & Digital Engineering
基金
河南省教育厅自然科学研究计划项目(编号:2008B520047)资助
