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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… Click to show full 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.
Keywords:
methodology;
data association;
association;
association methodology;
methodology improve;
improve spatial
Journal Title: Computational Intelligence and Neuroscience
Year Published: 2018
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Journal Title: Computational Intelligence and Neuroscience
Year Published: 2018
Link to full text (if available)
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recommendations!