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Data Association Methodology to Improve Spatial Predictions in Alternative Marketing Circuits in Ecuador
Washington R Padilla1, Jesús García2
1Salesian Polytechnic University of Quito-Ecuador Engineer Systems, Research Group Ideia Geoca, Quito, Ecuador.
Abstract:
This work proposes a methodology that reduces the error of future estimations in commercialization based on multivariate spatial prediction 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 prediction accuracy after using the best association rules.
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