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A special challenge for spatial data mining is that information is not distributed uniformly in spatial data sets. Consequently, the discovery of regional knowledge is of fundamental importance. Unfortunately, regional patterns frequently fail to be discovered due to insufficient global confidence and/or support in traditional association rule mining. Regional association rules, by definition, only hold in a subspace but not in the global space. One novel challenge is how to evaluate the impactdoi:10.1109/icdmw.2007.26 dblp:conf/icdm/DingEYWN07 fatcat:mc6ov2ms4bcevc3vascl2gkwta