Improving forecasting using information fusion in local agricultural markets

Washington R. Padilla; Jesús García; José M. Molina

doi:10.1007/978-3-319-92639-1_40

Improving forecasting using information fusion in local agricultural markets

Washington R. Padilla, Jesús García, José M. Molina

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

3 Citas (Scopus)

Resumen

This research explores the capacity of Information Fusion to extract knowledge about associations among agricultural products, which allows prediction for future consumption in local markets in the Andean region of Ecuador. 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. In the results we see that, information fusion from heterogenous data sources that are spatially located allows to establish best association rules among data sources (several products on several local markets) to infer significant improvement in time forecasting and spatial prediction accuracy for the future sales of agricultural products.

Idioma original	Inglés
Título de la publicación alojada	Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Proceedings
Editores	Alvaro Herrero, Hector Quintian, Jose Antonio Saez, Emilio Corchado, Francisco Javier de Cos Juez, Jose Ramon Villar, Enrique A. de la Cal
Editorial	Springer Verlag
Páginas	479-489
Número de páginas	11
ISBN (versión impresa)	9783319926384
DOI	https://doi.org/10.1007/978-3-319-92639-1_40
Estado	Publicada - 2018
Evento	13th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2018 - Oviedo, Espana Duración: 20 jun. 2018 → 22 jun. 2018

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	10870 LNAI
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Conferencia

Conferencia	13th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2018
País/Territorio	Espana
Ciudad	Oviedo
Período	20/06/18 → 22/06/18

Nota bibliográfica

Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2018.

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10.1007/978-3-319-92639-1_40

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Padilla, W. R., García, J., & Molina, J. M. (2018). Improving forecasting using information fusion in local agricultural markets. En A. Herrero, H. Quintian, J. Antonio Saez, E. Corchado, F. J. de Cos Juez, J. R. Villar, & E. A. de la Cal (Eds.), Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Proceedings (pp. 479-489). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10870 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-92639-1_40

Padilla, Washington R. ; García, Jesús ; Molina, José M. / Improving forecasting using information fusion in local agricultural markets. Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Proceedings. editor / Alvaro Herrero ; Hector Quintian ; Jose Antonio Saez ; Emilio Corchado ; Francisco Javier de Cos Juez ; Jose Ramon Villar ; Enrique A. de la Cal. Springer Verlag, 2018. pp. 479-489 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Improving forecasting using information fusion in local agricultural markets",

abstract = "This research explores the capacity of Information Fusion to extract knowledge about associations among agricultural products, which allows prediction for future consumption in local markets in the Andean region of Ecuador. 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. In the results we see that, information fusion from heterogenous data sources that are spatially located allows to establish best association rules among data sources (several products on several local markets) to infer significant improvement in time forecasting and spatial prediction accuracy for the future sales of agricultural products.",

keywords = "Alternative circuits of commercialization, Associations mining, Data Fusion, Predictive analysis",

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

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 13th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2018 ; Conference date: 20-06-2018 Through 22-06-2018",

year = "2018",

doi = "10.1007/978-3-319-92639-1_40",

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Padilla, WR, García, J & Molina, JM 2018, Improving forecasting using information fusion in local agricultural markets. En A Herrero, H Quintian, J Antonio Saez, E Corchado, FJ de Cos Juez, JR Villar & EA de la Cal (eds.), Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10870 LNAI, Springer Verlag, pp. 479-489, 13th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2018, Oviedo, Espana, 20/06/18. https://doi.org/10.1007/978-3-319-92639-1_40

Improving forecasting using information fusion in local agricultural markets. / Padilla, Washington R.; García, Jesús; Molina, José M.
Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Proceedings. ed. / Alvaro Herrero; Hector Quintian; Jose Antonio Saez; Emilio Corchado; Francisco Javier de Cos Juez; Jose Ramon Villar; Enrique A. de la Cal. Springer Verlag, 2018. p. 479-489 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10870 LNAI).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

TY - GEN

T1 - Improving forecasting using information fusion in local agricultural markets

AU - Padilla, Washington R.

AU - García, Jesús

AU - Molina, José M.

N1 - Publisher Copyright: © Springer International Publishing AG, part of Springer Nature 2018.

PY - 2018

Y1 - 2018

N2 - This research explores the capacity of Information Fusion to extract knowledge about associations among agricultural products, which allows prediction for future consumption in local markets in the Andean region of Ecuador. 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. In the results we see that, information fusion from heterogenous data sources that are spatially located allows to establish best association rules among data sources (several products on several local markets) to infer significant improvement in time forecasting and spatial prediction accuracy for the future sales of agricultural products.

AB - This research explores the capacity of Information Fusion to extract knowledge about associations among agricultural products, which allows prediction for future consumption in local markets in the Andean region of Ecuador. 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. In the results we see that, information fusion from heterogenous data sources that are spatially located allows to establish best association rules among data sources (several products on several local markets) to infer significant improvement in time forecasting and spatial prediction accuracy for the future sales of agricultural products.

KW - Alternative circuits of commercialization

KW - Associations mining

KW - Data Fusion

KW - Predictive analysis

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U2 - 10.1007/978-3-319-92639-1_40

DO - 10.1007/978-3-319-92639-1_40

M3 - Conference contribution

AN - SCOPUS:85048867455

SN - 9783319926384

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 479

EP - 489

BT - Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Proceedings

A2 - Herrero, Alvaro

A2 - Quintian, Hector

A2 - Antonio Saez, Jose

A2 - Corchado, Emilio

A2 - de Cos Juez, Francisco Javier

A2 - Villar, Jose Ramon

A2 - de la Cal, Enrique A.

PB - Springer Verlag

T2 - 13th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2018

Y2 - 20 June 2018 through 22 June 2018

ER -

Padilla WR, García J, Molina JM. Improving forecasting using information fusion in local agricultural markets. En Herrero A, Quintian H, Antonio Saez J, Corchado E, de Cos Juez FJ, Villar JR, de la Cal EA, editores, Hybrid Artificial Intelligent Systems - 13th International Conference, HAIS 2018, Proceedings. Springer Verlag. 2018. p. 479-489. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-92639-1_40

Improving forecasting using information fusion in local agricultural markets

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