A New Method of Improving Classification Accuracy of Decision Tree in Case of Incomplete Samples

Bartosz A. Nowak, Robert K. Nowicki, Wojciech K. Mleczko. A New Method of Improving Classification Accuracy of Decision Tree in Case of Incomplete Samples. In Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada, editors, Artificial Intelligence and Soft Computing - 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part I. Volume 7894 of Lecture Notes in Computer Science, pages 448-458, Springer, 2013. [doi]

@inproceedings{NowakNM13,
  title = {A New Method of Improving Classification Accuracy of Decision Tree in Case of Incomplete Samples},
  author = {Bartosz A. Nowak and Robert K. Nowicki and Wojciech K. Mleczko},
  year = {2013},
  doi = {10.1007/978-3-642-38658-9_40},
  url = {http://dx.doi.org/10.1007/978-3-642-38658-9_40},
  researchr = {https://researchr.org/publication/NowakNM13},
  cites = {0},
  citedby = {0},
  pages = {448-458},
  booktitle = {Artificial Intelligence and Soft Computing - 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part I},
  editor = {Leszek Rutkowski and Marcin Korytkowski and Rafal Scherer and Ryszard Tadeusiewicz and Lotfi A. Zadeh and Jacek M. Zurada},
  volume = {7894},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-38657-2},
}