基于数据仓库的决策支持系统 在网络教务管理中的应用(Application of decision support system based on data warehouse in network educational administration management).docVIP
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基于数据仓库的决策支持系统 在网络教务管理中的应用(Application of decision support system based on data warehouse in network educational administration management)
基于数据仓库的决策支持系统 在网络教务管理中的应用(Application of decision support system based on data warehouse in network educational administration management) Application of decision support system based on data warehouse in network educational administration management Application, of, DSS, Based, on, Data, Warehouse, to,, Network, Educational, Administration Wang Hongmei, Shi Jiying, Zhang Hongying, Sun Yugeng School of automation, Tianjin University E-mail:whm0607@ As a new development direction of database technology, the integration and consistent environment of BW technology and DB technology will enable decision-makers to obtain more accurate information faster. This article is based on three components of data warehouse based decision support system and educational management information system already exists on the implementation scheme of DSS system data warehouse in network management based on the given. Key words: decision support system, data warehouse, educational administration, OLAP, data mining 1 Introduction At present, the university educational administration management system uses the application-oriented online data processing database system. To complete the teaching plan, classroom arrangement, school management, performance management, external data management and other basic educational administration work, but set in the educational administration work trend prediction and educational management strategy exist all sorts of limitations. The main reason is that the educational administration system based on database is developed according to the life cycle method of demand driven, the information model is designed to design 2D entity relationship model based on the metadata management using data dictionary method. This educational decision makers need new technology to make up for the deficiency of the original database system, need to have an extensive collection of data integration in the data warehouse, in order to extract useful information from the operati
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