A deep learning model for predicting the number of stores and average sales in commercial district

Author:

Lee SuanORCID,Ko Sangkeun,Roudsari Arousha Haghighian,Lee WookeyORCID

Funder

IITP

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Reference22 articles.

1. The analysis of correlation between COVID-19 and Seoul small business commercial districts;Kim;J. Korea Inst. Inf. Commun. Eng.,2021

2. A study on COVID-19 and effects factors concerning the sales of side-street trade areas in seoul;Yu;J. Korean Reg. Dev. Assoc.,2021

3. Analyzing growth factors of alley markets using time-series clustering and logistic regression;Kang;J. Korean Soc. Surv. Geod. Photogramm. Cartogr.,2019

4. Analysis of changes in geographical factors affecting sales in commercial alleys after COVID-19 using machine learning techniques;Lee;Heliyon,2022

5. Using gravity model to make store closing decisions: A data driven approach;Bahrami;Expert Syst. Appl.,2022

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