【摘要】 在详细讨论商业智能技术及与商业智能密切相关的数据仓库技术、联机分析处理、数据挖掘、客户关系管理等技术的基础上,结合行业应用需求,从数据仓库结构与模型的设计、提取转换与加载工具的设计、联机分析处理中概化视图选取方法的设计以及数据挖掘有关算法在具体问题中的应用入手,对粮食企业实现商业智能进行了深入的介绍和分析;重点解决了数据仓库结构,部分分区中概化视图的选取方法,数据挖掘技术具体应用等问题,为粮食行业建设智能决策支持系统提供了可行的建设方案。更多还原

【Abstract】 On the basis of the techniques including DW (Data Warehouse), OLAP (OnLine Analytical Processing),DM (Data Mining), the key for a company to implement BI is to build an integrated data warehouse and develop a DSS (Decision Support System) based on data warehouse. There are four critical aspects for implementing BI including the structure and models design in DW, ETL (Extract, Transform, Load) tool design, MV (Materialized View) selection method design and data mining techniques application in grain enterprise’s actual requirement. Three important problems are solved here: DW structure, partial sums problem and application of DM. The result is a feasible scheme for implementing DSS of grain enterprises.更多还原