Studies on Reducing the Necessary Data Size for Rule Induction from the Decision Table by STRIM

Yuichi Kato, Tetsuro Saeki. Studies on Reducing the Necessary Data Size for Rule Induction from the Decision Table by STRIM. In Tamás Mihálydeák, Fan Min, Guoyin Wang, Mohua Banerjee, Ivo Düntsch, Zbigniew Suraj, Davide Ciucci, editors, Rough Sets - International Joint Conference, IJCRS 2019, Debrecen, Hungary, June 17-21, 2019, Proceedings. Volume 11499 of Lecture Notes in Computer Science, pages 130-143, Springer, 2019. [doi]

@inproceedings{KatoS19,
  title = {Studies on Reducing the Necessary Data Size for Rule Induction from the Decision Table by STRIM},
  author = {Yuichi Kato and Tetsuro Saeki},
  year = {2019},
  doi = {10.1007/978-3-030-22815-6_11},
  url = {https://doi.org/10.1007/978-3-030-22815-6_11},
  researchr = {https://researchr.org/publication/KatoS19},
  cites = {0},
  citedby = {0},
  pages = {130-143},
  booktitle = {Rough Sets - International Joint Conference, IJCRS 2019, Debrecen, Hungary, June 17-21, 2019, Proceedings},
  editor = {Tamás Mihálydeák and Fan Min and Guoyin Wang and Mohua Banerjee and Ivo Düntsch and Zbigniew Suraj and Davide Ciucci},
  volume = {11499},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-22815-6},
}