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数据挖掘在供水管理中的应用研究

Application of Data Mining to Water Supply Management
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摘要 随着自来水行业的改革与发展,为了提高企业的竞争力,自来水行业迫切希望通过加强企业信息化来提高生产力。数据挖掘作为一项新技术被广泛的用于决策支持系统(DSS),因此,基于自来水行业的数据挖掘的决策支持系统(DSS)的应用有很现实的意义。针对目前供水系统普通存在的产销差异问题,提出了通过一个基于管网地理信息系统(GIS)的城市供水系统的数据仓库上,进行数据挖掘来发现产销差异显著的区域或管网段的一种方法。 With the progress of water supply company reform, the enterprise eager to optimize the productivity by strengthening the information management in order to improve the competition ability. Data mining as a new technology to develop the Decision Support System (DSS), Thus, the application of DSS based on Data Mining in Water Supply Company will make sense for practice. Now, there is a problem of the difference between supply and sale in lots of water supply company. For this reason, this paper proposes a method: first building a data warehouse based on GIS, and next, making data mining with Spatial Data Mining technology based on the data warehouse for dinning out the area of the distinct difference.
作者 郭金旭 丁浩
出处 《工程建设与设计》 2008年第6期115-117,共3页 Construction & Design for Engineering
基金 湖北省科技攻关项目(2003AA101C80)
关键词 数据挖掘 数据仓库 供水 data mining data warehouse water supply
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参考文献4

  • 1Inmon W H.Building the Data Warehouse[M].Second Edition.John Wile y& Sons Inc.1996:300-320.
  • 2Willion A Giovinazzo.Object-Oriented Data Warehouse Design[M].Prentice-Hall Publishers Inc.2000:279-333.
  • 3Jiawe Han,Miicheline Kamber.Data Mining Concepts and Techniques[M].Morgan Kanfmann Publishers Inc,2001.
  • 4FISCHER G.Recent Developments in Spatial Analysis:Spatial Statistics,Behavioural Modelling and Neuro-computting[M].Berlin:Springer Verlag,2002.

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