TY - JOUR
T1 - Data association methodology to improve spatial predictions in alternative marketing circuits in Ecuador
AU - Padilla, Washington R.
AU - García, Jesús
N1 - Publisher Copyright:
© 2018 Washington R. Padilla and Jesús García.
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 -