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文章基本信息

  • 标题:Mining Fuzzy Spatial Configuration Rules: Methods and Applications
  • 本地全文:下载
  • 作者:Wenzhong SHI ; X. YANG ; G. Lin
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2005
  • 卷号:XXXVI-4/W6
  • 页码:319-324
  • 出版社:Copernicus Publications
  • 摘要:In view of the related research results of GIS and spatial analysis and according to the requirement of fuzzy spatial queries, this paper presents a spatial configuration rule mining and feature extracting method based on spatial association rule mining and fuzzy spatial relation reasoning. We detailed introduce the principle and method as well as application examples. A six mining steps established as follow: acquiring spatial data; selection of spatial predicates and knowledge representation; object recognition and extracting based on machine learning; reasoning objects' spatial relation; extracting spatial frequent itemset; discovering frequent patterns; synthetically evaluate the mining result in contrast to the query. Examples and their mining results were presented to illustrate the algorithm's validity
  • 关键词:Spatial Configuration Pattern; Spatial Association Rule Mining; Spatial Analysis; Fuzzy Spatial Relation Reasoning
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