Learning on Vertically Partitioned Data based on Chi-square Feature Selection and Naive Bayes Classification

Verónica Bolón-Canedo, Diego Peteiro-Barral, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño. Learning on Vertically Partitioned Data based on Chi-square Feature Selection and Naive Bayes Classification. In Béatrice Duval, H. Jaap van den Herik, Stéphane Loiseau, Joaquim Filipe, editors, ICAART 2014 - Proceedings of the 6th International Conference on Agents and Artificial Intelligence, Volume 1, ESEO, Angers, Loire Valley, France, 6-8 March, 2014. pages 350-357, SciTePress, 2014. [doi]

@inproceedings{Bolon-CanedoPAGS14,
  title = {Learning on Vertically Partitioned Data based on Chi-square Feature Selection and Naive Bayes Classification},
  author = {Verónica Bolón-Canedo and Diego Peteiro-Barral and Amparo Alonso-Betanzos and Bertha Guijarro-Berdiñas and Noelia Sánchez-Maroño},
  year = {2014},
  doi = {10.5220/0004759503500357},
  url = {http://dx.doi.org/10.5220/0004759503500357},
  researchr = {https://researchr.org/publication/Bolon-CanedoPAGS14},
  cites = {0},
  citedby = {0},
  pages = {350-357},
  booktitle = {ICAART 2014 - Proceedings of the 6th International Conference on Agents and Artificial Intelligence, Volume 1, ESEO, Angers, Loire Valley, France, 6-8 March, 2014},
  editor = {Béatrice Duval and H. Jaap van den Herik and Stéphane Loiseau and Joaquim Filipe},
  publisher = {SciTePress},
  isbn = {978-989-758-015-4},
}