Data Association Methodology to Improve Spatial Predictions in Alternative Marketing Circuits in Ecuador

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 agricultura...

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Detalles Bibliográficos
Autores principales: Padilla, Washington R., García, Jesús
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6247696/
https://www.ncbi.nlm.nih.gov/pubmed/30532771
http://dx.doi.org/10.1155/2018/6587049
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author Padilla, Washington R.
García, Jesús
author_facet Padilla, Washington R.
García, Jesús
author_sort Padilla, Washington R.
collection PubMed
description 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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spelling pubmed-62476962018-12-09 Data Association Methodology to Improve Spatial Predictions in Alternative Marketing Circuits in Ecuador Padilla, Washington R. García, Jesús Comput Intell Neurosci Research Article 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. Hindawi 2018-11-05 /pmc/articles/PMC6247696/ /pubmed/30532771 http://dx.doi.org/10.1155/2018/6587049 Text en Copyright © 2018 Washington R. Padilla and Jesús García. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Padilla, Washington R.
García, Jesús
Data Association Methodology to Improve Spatial Predictions in Alternative Marketing Circuits in Ecuador
title Data Association Methodology to Improve Spatial Predictions in Alternative Marketing Circuits in Ecuador
title_full Data Association Methodology to Improve Spatial Predictions in Alternative Marketing Circuits in Ecuador
title_fullStr Data Association Methodology to Improve Spatial Predictions in Alternative Marketing Circuits in Ecuador
title_full_unstemmed Data Association Methodology to Improve Spatial Predictions in Alternative Marketing Circuits in Ecuador
title_short Data Association Methodology to Improve Spatial Predictions in Alternative Marketing Circuits in Ecuador
title_sort data association methodology to improve spatial predictions in alternative marketing circuits in ecuador
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6247696/
https://www.ncbi.nlm.nih.gov/pubmed/30532771
http://dx.doi.org/10.1155/2018/6587049
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