RT Journal Article
T1 Data Association Methodology to Improve Spatial Predictions in Alternative Marketing Circuits in Ecuador
A1 Padilla, Washington R.
A1 García Herrero, Jesús
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.
SN 1687-5265
YR 2018
FD 2018-11-05
LK https://hdl.handle.net/10016/38772
UL https://hdl.handle.net/10016/38772
LA eng
NO This 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. This research has the partial economic support of the Salesian Polytechnic University of Ecuador.
DS e-Archivo
RD 1 sept. 2024