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  • 标题:Method and application of comprehensive knowledge discovery
  • 本地全文:下载
  • 作者:Sha Zongyao ; Bian Fuling
  • 期刊名称:Geo-spatial Information Science
  • 印刷版ISSN:1009-5020
  • 电子版ISSN:1993-5153
  • 出版年度:2003
  • 卷号:6
  • 期号:3
  • 页码:48-55
  • DOI:10.1007/BF02826893
  • 出版社:Taylor and Francis Ltd
  • 摘要:This paper proposes the principle of comprehensive knowledge discovery. Unlike most of the current knowledge discovery methods, the comprehensive knowledge discovery considers both the spatial relations and attributes of spatial entities or objects. We introduce the theory of spatial knowledge expression system and some concepts including comprehensive knowledge discovery and spatial union information table (SUIT). In theory, SUIT records all information contained in the studied objects, but in reality, because of the complexity and varieties of spatial relations, only those factors of interest to us are selected. In order to find out the comprehensive knowledge from spatial databases, an efficient comprehensive knowledge discovery algorithm called recycled algorithm (RAR) is suggested.
  • 关键词:comprehensive knowledge discovery; knowledge discovery algorithm; spatial association rule; knowledge expression system; data mining
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