TY - GEN
T1 - Analytics for Basic Products in Mexico
AU - Millán, Paul
AU - Mata, Félix
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Big Data
KW - Data analytics
KW - Data science
KW - Forecasting
KW - Machine learning
UR - http://www.scopus.com/inward/record.url?scp=85076143658&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-33229-7_11
DO - 10.1007/978-3-030-33229-7_11
M3 - Contribución a la conferencia
AN - SCOPUS:85076143658
SN - 9783030332280
T3 - Communications in Computer and Information Science
SP - 121
EP - 129
BT - Telematics and Computing - 8th International Congress, WITCOM 2019, Proceedings
A2 - Mata-Rivera, Miguel Felix
A2 - Zagal-Flores, Roberto
A2 - Barría-Huidobro, Cristian
PB - Springer
T2 - 8th International Congress on Telematics and Computing, WITCOM 2019
Y2 - 4 November 2019 through 8 November 2019
ER -