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The knowledge grid provides us with the means to represent, share and manage globally distributed knowledge resources over the Internet. The process of analyzing geographically distributed large data sets for extracting novel and interesting patterns or models has become a major challenge during the last years. The knowledge grid infrastructure allows developing more efficient data mining applications that analyze this distributed datasets. The paper presents the design of a distributed algorithm for mining fuzzy association rules from the distributed databases over the grid.