期刊文献+

用层次分析发现多维数据模型的主题域

Hierarchical analysis for discovering subject field of multidimensional data model
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摘要 为满足组织的决策需求和战略目标,提出在实施目标—问题—度量(GQM)方法中,使用层次分析发现多维数据模型的主题域,通过关联属性挖掘算法发现数据库中与主题关联的关系属性。分析结果对科学合理地布置多维数据的呈现结构有指导作用。 To meet an organization's decision requirements and strategy goals, the subject field of multidimensional data model could be discovered by hierarchical analysis in the process of implementing Goal-Question-Metric(GQM). The attributes associated with a subject could be found by an mining algorithm in a database. The result has guide to show the multidimensional exhibition structure in data warehouse scientifically.
出处 《计算机应用》 CSCD 北大核心 2006年第4期867-869,共3页 journal of Computer Applications
基金 天津市高等学校科技发展基金项目(520126)
关键词 主题域 层次分析 多维数据模型 subject field hierarchical analysis multidimensional data model
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