Applications of Fusion Techniques in E-Commerce Environments: A Literature Review.

Daskalakis, Emmanouil; Remoundou, Konstantina; Peppes, Nikolaos; Alexakis, Theodoros; Demestichas, Konstantinos; Adamopoulou, Evgenia; Sykas, Efstathios

Daskalakis, Emmanouil; Remoundou, Konstantina; Peppes, Nikolaos; Alexakis, Theodoros; Demestichas, Konstantinos; Adamopoulou, Evgenia; Sykas, Efstathios.

Afiliación

Daskalakis E; Institute of Communication and Computer Systems, National Technical University of Athens, 15773 Athens, Greece.
Remoundou K; Institute of Communication and Computer Systems, National Technical University of Athens, 15773 Athens, Greece.
Peppes N; Institute of Communication and Computer Systems, National Technical University of Athens, 15773 Athens, Greece.
Alexakis T; Institute of Communication and Computer Systems, National Technical University of Athens, 15773 Athens, Greece.
Demestichas K; Institute of Communication and Computer Systems, National Technical University of Athens, 15773 Athens, Greece.
Adamopoulou E; Institute of Communication and Computer Systems, National Technical University of Athens, 15773 Athens, Greece.
Sykas E; Institute of Communication and Computer Systems, National Technical University of Athens, 15773 Athens, Greece.

Sensors (Basel) ; 22(11)2022 May 25.

Article en En | MEDLINE | ID: mdl-35684619

Asunto(s)

COVID-19; Pandemias; Algoritmos; Comercio; Humanos

Palabras clave

IoT; big data; data fusion; e-commerce; machine learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pandemias / COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Grecia Pais de publicación: Suiza

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