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

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URI: https://hdl.handle.net/10016/38772
ISSN: 1687-5265
DOI: 10.1155/2018/6587049
UXXI: AR/0000022771
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data_garcia_CIN_2018.pdf (2.97 MB)
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2018-11-05
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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.
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Space, Land, Time
Bibliographic citation
Padilla, W. R., & García, J. (2018). Data Association Methodology to Improve Spatial Predictions in Alternative Marketing Circuits in Ecuador. Computational Intelligence and Neuroscience 2018, pp. 1-15.
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