E-Commerce Sales Revenues Forecasting by Means of Dynamically Designing, Developing and Validating a Directed Acyclic Graph (DAG) Network for Deep Learning

E-Commerce Sales Revenues Forecasting by Means of Dynamically Designing, Developing and Validating a Directed Acyclic Graph (DAG) Network for Deep Learning

As the digitalization process has become more and more important in our daily lives, during recent decades e-commerce has greatly increased in popularity, becoming increasingly used, therefore representing an extremely convenient alternative to traditional stores. In order to develop and maintain pr...

Full description

Bibliographic Details
Main Authors: Dana-Mihaela Petroșanu, Alexandru Pîrjan, George Căruţaşu, Alexandru Tăbușcă, Daniela-Lenuța Zirra, Alexandra Perju-Mitran
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Electronics
Subjects:
e-commerce
artificial intelligence
directed acyclic graph (DAG)
convolutional neural network (CNN)
bidirectional long-short-term memory (BiLSTM)
Online Access:https://www.mdpi.com/2079-9292/11/18/2940

Internet

https://www.mdpi.com/2079-9292/11/18/2940

Similar Items