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文章基本信息

  • 标题:A Spatio-Temporal Approach to Identify Variable Size/Shape Collocation
  • 本地全文:下载
  • 作者:M.Nagabhushana Rao ; Dr. P.,Govindarajulu
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2006
  • 卷号:6
  • 期号:9A
  • 页码:223-231
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要:The goal of data mining is to discover nuggets. Spatial data mining discovers collocation rules. Especially in spatial data mining, when spatial data is relatively represented with time series, a spatio-temporal significance is inferred. In this context the collocation rule that is a quintessence for the spatial data, obtains changes to its size and shape with temporal influence. Thus, the changes that occur to the spatial knowledge are the spatio-temporal transactions. Mining the spatio-temporal transactions and determining the various behavioral aspects of collocation is one of the substantial activities of GIS
  • 关键词:Spatial Data Mining, Temporal Mining, Spatial Knowledge, Collocation
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