This research explores information fusion and data mining techniques and proposes a methodology to improve predictions based on strong associations among agricultural products, which allows prediction for future consumption in local markets in the Andean region of Ecuador using spatial prediction techniques. This commercial activity is performed using Alternative Marketing Circuits (CIALCO), seeking to establish a direct relationship between producer and consumer prices, and promote buying and selling among family groups.
|Title of host publication||Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity|
|Subtitle of host publication||The PAAMS Collection - International Workshops of PAAMS 2018, Proceedings|
|Editors||Juan M. Corchado, Vicente Julian, Eneko Osaba Icedo, Javier Bajo, Patrycja Hoffa-Dabrowska, Ricardo Azambuja Silveira, Alberto Fernandez, Sylvain Giroux, Elena María Navarro Martínez, Philippe Mathieu, Antonio J. Castro, Nayat Sanchez-Pi, Elena del Val, Rainer Unland, Ruben Fuentes-Fernandez|
|Number of pages||12|
|State||Published - 2018|
|Event||16th International Conference on Practical Applications of Agents, Multi-Agent Systems, PAAMS 2018 - Toledo, Spain|
Duration: 20 Jun 2018 → 22 Jun 2018
|Name||Communications in Computer and Information Science|
|Conference||16th International Conference on Practical Applications of Agents, Multi-Agent Systems, PAAMS 2018|
|Period||20/06/18 → 22/06/18|
Bibliographical noteFunding Information:
Acknowledgements. This work was supported in part by Project MINECO TEC2017-88048-C2-2-R and by Commercial Coordination Network, Ministry of Agriculture, Livestock, Aquaculture and Fisheries Ecuador.
© 2018, Springer International Publishing AG, part of Springer Nature.
- Alternative circuits of commercialization
- Associations mining
- Data fusion
- Predictive analysis