Analytics for Basic Products in Mexico

Paul Millán, Félix Mata

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

In this research, it was designed a methodology to forecast prices of products In the Mexican Republic. The dataset is composed of basic basket products. The work consists of analyzing open and mixed data of this dataset. The approach is centered on studying how is the behavior in time and location domains for three products, tuna, detergent, and milk. The data ranges for five years. Neural networks were used to analyze data, and several experiments of price forecast were issued using different granularity levels. The regression models were validated using two traditional approaches of the machine learning area, coefficient of determination, and mean absolute error. The experiments showed that the price of basic products varies by zone and it is possible to give a forecast with a percentage of 80% of precision.

Idioma originalInglés
Título de la publicación alojadaTelematics and Computing - 8th International Congress, WITCOM 2019, Proceedings
EditoresMiguel Felix Mata-Rivera, Roberto Zagal-Flores, Cristian Barría-Huidobro
EditorialSpringer
Páginas121-129
Número de páginas9
ISBN (versión impresa)9783030332280
DOI
EstadoPublicada - 2019
Evento8th International Congress on Telematics and Computing, WITCOM 2019 - Merida, México
Duración: 4 nov. 20198 nov. 2019

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen1053 CCIS
ISSN (versión impresa)1865-0929
ISSN (versión digital)1865-0937

Conferencia

Conferencia8th International Congress on Telematics and Computing, WITCOM 2019
País/TerritorioMéxico
CiudadMerida
Período4/11/198/11/19

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