ML Anthology

Learning First-Order Rules from Data with Multiple Parts: Applications on Mining Chemical Compound Data

Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numao, Takashi Okada
ICML 2004
doi:10.1145/1015330.1015447 /icml/2004/nattee2004icml-learning/
ICML Semantic Scholar

Cite

Text

Nattee et al. "Learning First-Order Rules from Data with Multiple Parts: Applications on Mining Chemical Compound Data." International Conference on Machine Learning, 2004. doi:10.1145/1015330.1015447

Markdown

[Nattee et al. "Learning First-Order Rules from Data with Multiple Parts: Applications on Mining Chemical Compound Data." International Conference on Machine Learning, 2004.](https://mlanthology.org/icml/2004/nattee2004icml-learning/) doi:10.1145/1015330.1015447

BibTeX

@inproceedings{nattee2004icml-learning,
  title     = {{Learning First-Order Rules from Data with Multiple Parts: Applications on Mining Chemical Compound Data}},
  author    = {Nattee, Cholwich and Sinthupinyo, Sukree and Numao, Masayuki and Okada, Takashi},
  booktitle = {International Conference on Machine Learning},
  year      = {2004},
  doi       = {10.1145/1015330.1015447},
  url       = {https://mlanthology.org/icml/2004/nattee2004icml-learning/}
}