ER4ML: An ER Modeling Tool to Represent Data Transformations in Data Science

Dihia Lanasri, Carlos Ordonez 0001, Ladjel Bellatreche, Selma Khouri. ER4ML: An ER Modeling Tool to Represent Data Transformations in Data Science. In José Ignacio Panach, Renata S. S. Guizzardi, Daniela Barreiro Claro, editors, Proceedings of the ER Forum and Poster & Demos Session 2019 on Publishing Papers with CEUR-WS co-located with 38th International Conference on Conceptual Modeling (ER 2019), Salvador, Brazil, November 4, 2019. Volume 2469 of CEUR Workshop Proceedings, pages 123-127, CEUR-WS.org, 2019. [doi]

@inproceedings{Lanasri0BK19,
  title = {ER4ML: An ER Modeling Tool to Represent Data Transformations in Data Science},
  author = {Dihia Lanasri and Carlos Ordonez 0001 and Ladjel Bellatreche and Selma Khouri},
  year = {2019},
  url = {http://ceur-ws.org/Vol-2469/ERDemo04.pdf},
  researchr = {https://researchr.org/publication/Lanasri0BK19},
  cites = {0},
  citedby = {0},
  pages = {123-127},
  booktitle = {Proceedings of the ER Forum and Poster & Demos Session 2019 on Publishing Papers with CEUR-WS co-located with 38th International Conference on Conceptual Modeling (ER 2019), Salvador, Brazil, November 4, 2019},
  editor = {José Ignacio Panach and Renata S. S. Guizzardi and Daniela Barreiro Claro},
  volume = {2469},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}