文章基本信息

标题：A Spatio-Temporal Approach to Identify Variable Size/Shape Collocation
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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