在决策分析中 ,联机分析处理 OL AP(On- L ine Analytical Processing)与数据挖掘工具必须协调使用才能发挥最佳的作用 .基于影响域的 OL AM(OL AP Mining)模型 ,将 OL AP技术和数据挖掘技术结合在一个统一的框架之中 ,加强了决策分析...在决策分析中 ,联机分析处理 OL AP(On- L ine Analytical Processing)与数据挖掘工具必须协调使用才能发挥最佳的作用 .基于影响域的 OL AM(OL AP Mining)模型 ,将 OL AP技术和数据挖掘技术结合在一个统一的框架之中 ,加强了决策分析的功能和灵活性 .该模型有助于在大型数据库和数据仓库中交互式地挖掘多层次的知识 .展开更多
Some key technologies of actualizing customer relationship management(CRM)systems are researched.The customer analysis mining prototype systems on the basis of on-line analytical mining(OLAM)is designed.After transact...Some key technologies of actualizing customer relationship management(CRM)systems are researched.The customer analysis mining prototype systems on the basis of on-line analytical mining(OLAM)is designed.After transaction analysis,the data warehouse of CRM is constructed.The CLV/CL/CC customer division model based on customer lifetime value,customer loyalty and customer credit is emphatically researched.Three parameters of customer division—customer lifetime value,customer loyalty and customer credit—are calculated by corresponding algorithms,which can realize customer divisions effectively and improve the accuracy of distinguishing among customers.The data of product sales are analyzed by the sequence association rules algorithm,the potential rules of the products relevance are discovered,which can provide evidence for supporting decisions such as promotion strategies.The transaction data such as product sales volumes and order lists are analyzed on-line through multi-dimensional and multi-level up-drills,down-drills,and horizontal/longitudinal sections.The customer property factors are analyzed as well.The theory and practice of OLAM and its visualization are further explored.展开更多
针对OLAM(On Line Analytical Mining)在DSS(Decision Supporting System)中的应用实际,认为其不是OLAP(On Line Analytical Processing)或DM(Data Mining)的简单延伸,而是OLAP和DM的完美、有机的统一体,其中挖掘"M"是整个OLA...针对OLAM(On Line Analytical Mining)在DSS(Decision Supporting System)中的应用实际,认为其不是OLAP(On Line Analytical Processing)或DM(Data Mining)的简单延伸,而是OLAP和DM的完美、有机的统一体,其中挖掘"M"是整个OLAM的核心部分,OLAP是"M"的核心作用得以实现的前提条件和必要保障.在传统的OLAM结构的基础上,提出了一个新的体系结构,并对其执行过程进行了描述.展开更多
文摘在决策分析中 ,联机分析处理 OL AP(On- L ine Analytical Processing)与数据挖掘工具必须协调使用才能发挥最佳的作用 .基于影响域的 OL AM(OL AP Mining)模型 ,将 OL AP技术和数据挖掘技术结合在一个统一的框架之中 ,加强了决策分析的功能和灵活性 .该模型有助于在大型数据库和数据仓库中交互式地挖掘多层次的知识 .
基金The National Key Technology R&D Program of China during the 11th Five-Year Plan Period(No.2006BAH02A06)
文摘Some key technologies of actualizing customer relationship management(CRM)systems are researched.The customer analysis mining prototype systems on the basis of on-line analytical mining(OLAM)is designed.After transaction analysis,the data warehouse of CRM is constructed.The CLV/CL/CC customer division model based on customer lifetime value,customer loyalty and customer credit is emphatically researched.Three parameters of customer division—customer lifetime value,customer loyalty and customer credit—are calculated by corresponding algorithms,which can realize customer divisions effectively and improve the accuracy of distinguishing among customers.The data of product sales are analyzed by the sequence association rules algorithm,the potential rules of the products relevance are discovered,which can provide evidence for supporting decisions such as promotion strategies.The transaction data such as product sales volumes and order lists are analyzed on-line through multi-dimensional and multi-level up-drills,down-drills,and horizontal/longitudinal sections.The customer property factors are analyzed as well.The theory and practice of OLAM and its visualization are further explored.
文摘针对OLAM(On Line Analytical Mining)在DSS(Decision Supporting System)中的应用实际,认为其不是OLAP(On Line Analytical Processing)或DM(Data Mining)的简单延伸,而是OLAP和DM的完美、有机的统一体,其中挖掘"M"是整个OLAM的核心部分,OLAP是"M"的核心作用得以实现的前提条件和必要保障.在传统的OLAM结构的基础上,提出了一个新的体系结构,并对其执行过程进行了描述.
