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The large amount of patterns generated by frequent pattern mining algorithms has been extensively addressed in the last few years. In geographic pattern mining, besides the large amount of patterns, many are well known geographic domain associations. Existing algorithms do not warrant the elimination of all well known geographic dependences since no prior knowledge is used for this purpose. This paper presents a two step method for mining frequent geographic patterns without associations thatdoi:10.1145/1183471.1183495 dblp:conf/gis/BogornyCEA06 fatcat:5ieutbvwhzd7fdce5outarg5am