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dc.date.accessioned 2022-02-02T18:12:04Z
dc.date.available 2022-02-02T18:12:04Z
dc.date.issued 2021
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/130352
dc.description.abstract In Argentina there was a great growth of e-commerce due to the COVID-19 pandemic. With the aim of helping local companies to understand the market and help them in decision making, data were obtained from online shoe sales sites and with them Machine Learning models were implemented to make price predictions in sneakers. It was concluded that higher-tier companies have greater competitive advantage over lower-tier companies. Nonetheless, the cost-effective methodology used would aid local companies scale up. en
dc.format.extent 333-342 es
dc.language en es
dc.subject E-commerce es
dc.subject Machine learning es
dc.subject Linear Regression es
dc.subject Random Forest es
dc.subject LGBM Regressor es
dc.title From Global to Local in the Sneakers Universe: A Data Science Approach en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-987-633-574-4 es
sedici.creator.person Perdomo, Luciano es
sedici.creator.person Ordinez, Leonardo es
sedici.description.note Workshop: WBDMD - Base de Datos y Minería de Datos es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2021-10
sedici.relation.event XXVII Congreso Argentino de Ciencias de la Computación (CACIC) (Modalidad virtual, 4 al 8 de octubre de 2021) es
sedici.description.peerReview peer-review es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/129809 es
sedici.relation.bookTitle Memorias del Congreso Argentino en Ciencias de la Computación - CACIC 2021 es

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