BK-ADAPT: Dynamic Background Knowledge for Automating Data Transformation

Lidia Contreras Ochando, César Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, María José Ramírez-Quintana, Susumu Katayama. BK-ADAPT: Dynamic Background Knowledge for Automating Data Transformation. In Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III. Volume 11908 of Lecture Notes in Computer Science, pages 755-759, Springer, 2019. [doi]

@inproceedings{OchandoFHMRK19a,
  title = {BK-ADAPT: Dynamic Background Knowledge for Automating Data Transformation},
  author = {Lidia Contreras Ochando and César Ferri and José Hernández-Orallo and Fernando Martínez-Plumed and María José Ramírez-Quintana and Susumu Katayama},
  year = {2019},
  doi = {10.1007/978-3-030-46133-1_45},
  url = {https://doi.org/10.1007/978-3-030-46133-1_45},
  researchr = {https://researchr.org/publication/OchandoFHMRK19a},
  cites = {0},
  citedby = {0},
  pages = {755-759},
  booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III},
  editor = {Ulf Brefeld and Élisa Fromont and Andreas Hotho and Arno J. Knobbe and Marloes H. Maathuis and Céline Robardet},
  volume = {11908},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-46133-1},
}