Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data

Chiara Balestra, Florian Huber, Andreas Mayr, Emmanuel Müller. Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data. In Robert Wrembel, Johann Gamper, Gabriele Kotsis, A Min Tjoa, Ismail Khalil, editors, Big Data Analytics and Knowledge Discovery - 24th International Conference, DaWaK 2022, Vienna, Austria, August 22-24, 2022, Proceedings. Volume 13428 of Lecture Notes in Computer Science, pages 97-111, Springer, 2022. [doi]

@inproceedings{BalestraHMM22,
  title = {Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data},
  author = {Chiara Balestra and Florian Huber and Andreas Mayr and Emmanuel Müller},
  year = {2022},
  doi = {10.1007/978-3-031-12670-3_9},
  url = {https://doi.org/10.1007/978-3-031-12670-3_9},
  researchr = {https://researchr.org/publication/BalestraHMM22},
  cites = {0},
  citedby = {0},
  pages = {97-111},
  booktitle = {Big Data Analytics and Knowledge Discovery - 24th International Conference, DaWaK 2022, Vienna, Austria, August 22-24, 2022, Proceedings},
  editor = {Robert Wrembel and Johann Gamper and Gabriele Kotsis and A Min Tjoa and Ismail Khalil},
  volume = {13428},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-12670-3},
}