ML Anthology

Concept Formation from Very Large Training Sets

Richard A. O'Keefe
IJCAI 1983 pp. 479-481
/ijcai/1983/oaposkeefe1983ijcai-concept/

Abstract

This paper proposes an alternative to Quinlan's algorithm for forming classification trees from large sets of examples. My algorithm is guaranteed to terminate. Quinlan's algorithm is usually faster.

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Text

O'Keefe. "Concept Formation from Very Large Training Sets." International Joint Conference on Artificial Intelligence, 1983.

Markdown

[O'Keefe. "Concept Formation from Very Large Training Sets." International Joint Conference on Artificial Intelligence, 1983.](https://mlanthology.org/ijcai/1983/oaposkeefe1983ijcai-concept/)

BibTeX

@inproceedings{oaposkeefe1983ijcai-concept,
  title     = {{Concept Formation from Very Large Training Sets}},
  author    = {O'Keefe, Richard A.},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {1983},
  pages     = {479-481},
  url       = {https://mlanthology.org/ijcai/1983/oaposkeefe1983ijcai-concept/}
}