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

Washington R. Padilla; Jesús García

doi:10.1155/2018/6587049

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

Washington R. Padilla, Jesús García

Spatial Data Infrastructure Research Group Artificial Intelligence Geoportals and Applied Computing (IDE IA GEO CA)

Research output: Contribution to journal › Article › peer-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 language	English
Article number	6587049
Journal	Computational Intelligence and Neuroscience
Volume	2018
DOIs	https://doi.org/10.1155/2018/6587049
State	Published - 1 Jan 2018

Bibliographical note

Funding Information:
1is work was supported in part by Project MINECO TEC2014-57022-C2-2-R, Salesian Polytechnic University of Quito-Ecuador and by Commercial Coordination Network, Ministry of Agriculture and Livestock Ecuador. 1is research has the partial economic support of the Salesian Polytechnic University of Ecuador.

Publisher Copyright:
© 2018 Washington R. Padilla and Jesús García.

Access to Document

10.1155/2018/6587049

Cite this

@article{d036329976dc495f823ae05fedfb9a10,

title = "Data association methodology to improve spatial predictions in alternative marketing circuits in 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.",

author = "Padilla, {Washington R.} and Jes{\'u}s Garc{\'i}a",

note = "Publisher Copyright: {\textcopyright} 2018 Washington R. Padilla and Jes{\'u}s Garc{\'i}a.",

year = "2018",

month = jan,

day = "1",

doi = "10.1155/2018/6587049",

language = "English",

volume = "2018",

journal = "Computational Intelligence and Neuroscience",

issn = "1687-5265",

publisher = "Hindawi",

}

TY - JOUR

T1 - Data association methodology to improve spatial predictions in alternative marketing circuits in Ecuador

AU - Padilla, Washington R.

AU - García, Jesús

PY - 2018/1/1

Y1 - 2018/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85057025315&partnerID=8YFLogxK

U2 - 10.1155/2018/6587049

DO - 10.1155/2018/6587049

M3 - Article

C2 - 30532771

AN - SCOPUS:85057025315

SN - 1687-5265

VL - 2018

JO - Computational Intelligence and Neuroscience

JF - Computational Intelligence and Neuroscience

M1 - 6587049

ER -

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

Abstract

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this