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Data association methodology to improve spatial pbkp_redictions in alternative marketing circuits in Ecuador

Abstract:

This work proposes a methodology that reduces the error of future estimations in commercialization based on multivariate spatial pbkp_rediction techniques (cokriging) considering the products with strong associations. It is based on the Apriori algorithm to find association rules in sales of agricultural products of local markets. Results show the improvement in spatial pbkp_rediction accuracy after using the best association rules.