A Forecasting Model to Predict the Demand of Roses in an Ecuadorian Small Business Under Uncertain Scenarios. Herrera-Granda, I. D., Lorente-Leyva, L. L., Peluffo-Ordóñez, D. H., & Alemany, M. M. E. In Nicosia, G., Ojha, V., Malfa, E. L., Jansen, G., Sciacca, V., Pardalos, P. M., Giuffrida, G., & Umeton, R., editors, Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part II, volume 12566, of Lecture Notes in Computer Science, pages 245–258, 2020. Springer.
A Forecasting Model to Predict the Demand of Roses in an Ecuadorian Small Business Under Uncertain Scenarios [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/mod/Herrera-GrandaL20,
  author       = {Israel David Herrera{-}Granda and
                  Leandro Leonardo Lorente{-}Leyva and
                  Diego Hern{\'{a}}n Peluffo{-}Ord{\'{o}}{\~{n}}ez and
                  M. M. E. Alemany},
  editor       = {Giuseppe Nicosia and
                  Varun Ojha and
                  Emanuele La Malfa and
                  Giorgio Jansen and
                  Vincenzo Sciacca and
                  Panos M. Pardalos and
                  Giovanni Giuffrida and
                  Renato Umeton},
  title        = {A Forecasting Model to Predict the Demand of Roses in an Ecuadorian
                  Small Business Under Uncertain Scenarios},
  booktitle    = {Machine Learning, Optimization, and Data Science - 6th International
                  Conference, {LOD} 2020, Siena, Italy, July 19-23, 2020, Revised Selected
                  Papers, Part {II}},
  series       = {Lecture Notes in Computer Science},
  volume       = {12566},
  pages        = {245--258},
  publisher    = {Springer},
  year         = {2020},
  url          = {https://doi.org/10.1007/978-3-030-64580-9\_21},
  doi          = {10.1007/978-3-030-64580-9\_21},
  timestamp    = {Wed, 07 Apr 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/mod/Herrera-GrandaL20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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