An Improved Algorithm for Incremental Induction of Decision Trees

Abstract

This paper presents an algorithm for incremental induction of decision trees that is able to handle both numeric and symbolic variables. In order to handle numeric variables, a new tree revision operator called 'slewing' is introduced. Finally, a non-incremental method is given for finding a decision tree based on a direct metric of a candidate tree.

Cite

Text

Utgoff. "An Improved Algorithm for Incremental Induction of Decision Trees." International Conference on Machine Learning, 1994. doi:10.1016/B978-1-55860-335-6.50046-5

Markdown

[Utgoff. "An Improved Algorithm for Incremental Induction of Decision Trees." International Conference on Machine Learning, 1994.](https://mlanthology.org/icml/1994/utgoff1994icml-improved/) doi:10.1016/B978-1-55860-335-6.50046-5

BibTeX

@inproceedings{utgoff1994icml-improved,
  title     = {{An Improved Algorithm for Incremental Induction of Decision Trees}},
  author    = {Utgoff, Paul E.},
  booktitle = {International Conference on Machine Learning},
  year      = {1994},
  pages     = {318-325},
  doi       = {10.1016/B978-1-55860-335-6.50046-5},
  url       = {https://mlanthology.org/icml/1994/utgoff1994icml-improved/}
}