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文章基本信息

  • 标题:An Intelligent Analysis and Mining System for Urban Lighting Information
  • 本地全文:下载
  • 作者:Guanlin Chen ; Erpeng Wang ; Xinxin Sun
  • 期刊名称:International Journal of Smart Home
  • 印刷版ISSN:1975-4094
  • 出版年度:2015
  • 卷号:9
  • 期号:3
  • 页码:253-262
  • DOI:10.14257/ijsh.2015.9.3.23
  • 出版社:SERSC
  • 摘要:Urban lighting information plays an important role in digital urban management. In this paper, an IAMSULI (Intelligent Analysis and Mining System for Urban Lighting Information) is proposed. Using data analysis technology, case-based reasoning technology and data mining technology comprehensively, the system aims at providing better decision support for lighting management. IAMSULI is composed of system management, geographical information management, lighting information management, lighting data analysis, comprehensive classification statistics and event management. The system can help us quickly find lighting problems, provide early warning alarm of the problems, and also supply constructive information for the urban development.
  • 关键词:Lighting Information; Data Mining; Digital Urban Management; J2EE; CBR
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