Forecasting dining times in a full-service Thai hotpot restaurant Using Random Forest Classifier-Reference-Cited by-同舟云学术

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Forecasting dining times in a full-service Thai hotpot restaurant Using Random Forest Classifier

Published:2023-04-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 8th International Conference on Mathematics and Artificial Intelligence
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Author:

Kongnim Pongjit¹^ORCID,Cooharojananone Nagul²^ORCID,Chavarnakul Thira³^ORCID

Affiliation:

1. Technopreneurship and Innovation Management Program, Chulalongkorn University, Thailand

2. Mathematics and Computer Science, Chulalongkorn University, Thailand

3. Commerce Chulalongkorn Business School, Chulalongkorn University, Thailand

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3594300.3594303

Reference21 articles.

1. Food Service - Hotel Restaurant Institutional;Puranabhandu O.;United States Department of Agriculture, Thailand,2021

2. The effects of dining atmospherics on behavioral intentions through quality perception

3. C. Chaowanapunja "Factors that influence consumers to choose a restaurant in Bangkok metropolitan area " 2020. C. Chaowanapunja "Factors that influence consumers to choose a restaurant in Bangkok metropolitan area " 2020.

4. P. Kotler , K. L. Keller , P. MarkKotler , and K. Keller , " Marketing Management. Global Edition (Vol. 15E)," Global Edition , vol. 15 , no. 4, 2016. P. Kotler, K. L. Keller, P. MarkKotler, and K. Keller, "Marketing Management. Global Edition (Vol. 15E)," Global Edition, vol. 15, no. 4, 2016.

5. Machine learning: Trends, perspectives, and prospects

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