Forecasting Key Retail Performance Indicators Using Interpretable Regression.

Panay, Belisario; Baloian, Nelson; Pino, José A; Peñafiel, Sergio; Frez, Jonathan; Fuenzalida, Cristóbal; Sanson, Horacio; Zurita, Gustavo

Panay, Belisario; Baloian, Nelson; Pino, José A; Peñafiel, Sergio; Frez, Jonathan; Fuenzalida, Cristóbal; Sanson, Horacio; Zurita, Gustavo.

Afiliação

Panay B; Department of Computer Science, Universidad de Chile, Santiago 8370456, Chile.
Baloian N; Department of Computer Science, Universidad de Chile, Santiago 8370456, Chile.
Pino JA; Department of Computer Science, Universidad de Chile, Santiago 8370456, Chile.
Peñafiel S; Department of Computer Science, Universidad de Chile, Santiago 8370456, Chile.
Frez J; School of Informatics and Telecommunication, Universidad Diego Portales, Santiago 8370190, Chile.
Fuenzalida C; Department of Computer Science, Universidad de Chile, Santiago 8370456, Chile.
Sanson H; Allm Inc., Tokyo 150-0002, Japan.
Zurita G; Department of Information Systems and Management Control, Faculty of Economics and Business, Universidad de Chile, Santiago 8330015, Chile.

Sensors (Basel) ; 21(5)2021 Mar 08.

Article em En | MEDLINE | ID: mdl-33800166

Palavras-chave

Dempster-Shafer Theory; Evidence Regression; foot traffic prediction; retail indicators; supervised learning; time series regression problems

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Chile País de publicação: Suíça

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