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

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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Main Authors: Washington R. Padilla, Jesús García
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Computational Intelligence and Neuroscience
Online Access:http://dx.doi.org/10.1155/2018/6587049
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spelling doaj-e45cb713e7314738a163c166854d29c42020-11-24T22:59:55ZengHindawi LimitedComputational Intelligence and Neuroscience1687-52651687-52732018-01-01201810.1155/2018/65870496587049Data Association Methodology to Improve Spatial Predictions in Alternative Marketing Circuits in EcuadorWashington R. Padilla0Jesús García1Salesian Polytechnic University of Quito-Ecuador Engineer Systems, Research Group Ideia Geoca, Quito, EcuadorCarlos III University, Applied Artificial Intelligence Group, Madrid, SpainThis 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.http://dx.doi.org/10.1155/2018/6587049
collection DOAJ
language English
format Article
sources DOAJ
author Washington R. Padilla
Jesús García
spellingShingle Washington R. Padilla
Jesús García
Data Association Methodology to Improve Spatial Predictions in Alternative Marketing Circuits in Ecuador
Computational Intelligence and Neuroscience
author_facet Washington R. Padilla
Jesús García
author_sort Washington R. Padilla
title 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_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_sort data association methodology to improve spatial predictions in alternative marketing circuits in ecuador
publisher Hindawi Limited
series Computational Intelligence and Neuroscience
issn 1687-5265
1687-5273
publishDate 2018-01-01
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.
url http://dx.doi.org/10.1155/2018/6587049
work_keys_str_mv AT washingtonrpadilla dataassociationmethodologytoimprovespatialpredictionsinalternativemarketingcircuitsinecuador
AT jesusgarcia dataassociationmethodologytoimprovespatialpredictionsinalternativemarketingcircuitsinecuador
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