Graduality in Data Sciences: Gradual Patterns

Anne Laurent. Graduality in Data Sciences: Gradual Patterns. In Marie-Jeanne Lesot, Christophe Marsala, editors, Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications - Dedicated to Bernadette Bouchon-Meunier. Volume 394 of Studies in Fuzziness and Soft Computing, pages 163-168, Springer, 2021. [doi]

@incollection{Laurent21-0,
  title = {Graduality in Data Sciences: Gradual Patterns},
  author = {Anne Laurent},
  year = {2021},
  doi = {10.1007/978-3-030-54341-9_14},
  url = {https://doi.org/10.1007/978-3-030-54341-9_14},
  researchr = {https://researchr.org/publication/Laurent21-0},
  cites = {0},
  citedby = {0},
  pages = {163-168},
  booktitle = {Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications - Dedicated to Bernadette Bouchon-Meunier},
  editor = {Marie-Jeanne Lesot and Christophe Marsala},
  volume = {394},
  series = {Studies in Fuzziness and Soft Computing},
  publisher = {Springer},
  isbn = {978-3-030-54341-9},
}