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基于商业智能的税务数据应用系统构建研究

Research in Constructing Business Intelligence-based Tax Data Application System
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摘要 随着税务部门信息化对业务数据深化应用的需求,从商业智能(BI)的角度,研究税务数据应用系统的框架,构建一个综合数据应用的体系方案。针对现有税务部门数据应用需求的现状,建立有效的数据仓库模型,结合联机分析处理(OLAP)工具和数据挖掘等技术将现有数据转化为有价值的知识、策略规则和模型,以辅助税务部门决策管理的合理性、时效性和适应性。 With the increasing requirements of tax data information application, from the point of Business Intelligence (BI), designed the tax data application system framework, and constructed a comprehensive data application scheme. For the current demand of data applications in revenue, established an effective data warehouse model, combined on - line analytical processing (OLAP) tools and data mining technology, transferred the existing data into valuable knowledge, rules and model strategies. This system will support the management departments of revenue decision - making rationally, timeliness and adaptability.
出处 《信息技术与信息化》 2009年第1期43-45,共3页 Information Technology and Informatization
关键词 商业智能 数据仓库 OLAP 数据挖掘 Business intelligence Data warehouse OLAP Data mining
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  • 1王卫平,徐宏发,温才学.基于Web Services的商务智能网络研究[J].计算机系统应用,2005,14(7):16-19. 被引量:11
  • 2王裕明,吴忠.商务智能中元数据管理模型研究[J].计算机应用与软件,2005,22(8):34-35. 被引量:5
  • 3王珊 等.数据仓库技术与联机分析处理[M].北京:科学出版社,1999.1-76.
  • 4CHAUDHURI S,DAYAL U.An overview of data warehousing and OLAP technology[J].ACM Sigmod Record,1997,26(1):65-74.
  • 5INMON W H.Building the data warehouse[M].John Wiley and Sons Inc,1996.
  • 6NEIL O P,QUASS D.Improved query performance with variant indexes[J].ACM Sigmod Record,1997,26 (2):38-49.
  • 7WANG L,WIJESEKERA D,JAJODIA S.Precisely answering multi-dimensional range queries without privacy breaches[R].Proceedings of the Eighth European Symposium on Research in Computer Security,2003.
  • 8GAO Aiqiang,LI Qingzhong.The data manipulation and querying optimization In SCDDWS[C].Computer Engineering and Application,2002.
  • 9刘庆.ttnn BI观点[E].http://happyscry.googlepages.com/ttnn_bi_opinion_200511.pdf,2005(11)
  • 10WIKI百科.数据挖掘[K].http://ttnn.c3crm.com/index.php?title=% E6% 95% B0% E6% 8D% AE% E6% 8C% 96% E6% 8E%98,2006-08-04/2006-11-10.

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