Forecasting the Number of Customers Visiting Restaurants Using Machine Learning and Statistical Method

Takashi Tanizaki, Shunsuke Kozuma, Takeshi Shimmura. Forecasting the Number of Customers Visiting Restaurants Using Machine Learning and Statistical Method. In Alexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, David Romero, editors, Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5-9, 2021, Proceedings, Part III. Volume 632 of IFIP Advances in Information and Communication Technology, pages 189-197, Springer, 2021. [doi]

@inproceedings{TanizakiKS21,
  title = {Forecasting the Number of Customers Visiting Restaurants Using Machine Learning and Statistical Method},
  author = {Takashi Tanizaki and Shunsuke Kozuma and Takeshi Shimmura},
  year = {2021},
  doi = {10.1007/978-3-030-85906-0_21},
  url = {https://doi.org/10.1007/978-3-030-85906-0_21},
  researchr = {https://researchr.org/publication/TanizakiKS21},
  cites = {0},
  citedby = {0},
  pages = {189-197},
  booktitle = {Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5-9, 2021, Proceedings, Part III},
  editor = {Alexandre Dolgui and Alain Bernard and David Lemoine and Gregor von Cieminski and David Romero},
  volume = {632},
  series = {IFIP Advances in Information and Communication Technology},
  publisher = {Springer},
  isbn = {978-3-030-85906-0},
}