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

Washington R. Padilla, Jesús García

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

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.

Original languageEnglish
Article number6587049
JournalComputational Intelligence and Neuroscience
Volume2018
DOIs
StatePublished - 1 Jan 2018

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