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===GIS data mining=== GIS or spatial [[data mining]] is the application of data mining methods to spatial data. Data mining, which is the partially automated search for hidden patterns in large databases, offers great potential benefits for applied GIS-based decision making. Typical applications include [[environmental monitoring]]. A characteristic of such applications is that spatial correlation between data measurements require the use of specialized algorithms for more efficient data analysis.<ref>{{Cite journal | last1 = Ma | first1 = Y. | last2 = Guo | first2 = Y. | last3 = Tian | first3 = X. | last4 = Ghanem | first4 = M. | title = Distributed Clustering-Based Aggregation Algorithm for Spatial Correlated Sensor Networks | doi = 10.1109/JSEN.2010.2056916 | journal = IEEE Sensors Journal | volume = 11 | issue = 3 | page = 641 | year = 2011 | url = http://www.inf.ufpr.br/carmem/oficinaBD/artigos1s2014/dist-clustering.pdf | bibcode = 2011ISenJ..11..641M | citeseerx = 10.1.1.724.1158 | s2cid = 1639100 }}</ref>
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