ML Anthology

Learning Decision Rules from Data Streams

João Gama, Petr Kosina
IJCAI 2011 pp. 1255-1260
doi:10.5591/978-1-57735-516-8/IJCAI11-213 /ijcai/2011/gama2011ijcai-learning/

Abstract

Decision rules, which can provide good interpretability andflexibility for data mining tasks, have received very littleattention in the stream mining community so far. In this workwe introduce a new algorithm to learn rule sets, designed for open-ended data streams. The proposed algorithm is able to continuously learn compact ordered and unordered rule sets. The experimental evaluation shows competitive results in comparison with VFDT and C4.5rules.

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Cite

Text

Gama and Kosina. "Learning Decision Rules from Data Streams." International Joint Conference on Artificial Intelligence, 2011. doi:10.5591/978-1-57735-516-8/IJCAI11-213

Markdown

[Gama and Kosina. "Learning Decision Rules from Data Streams." International Joint Conference on Artificial Intelligence, 2011.](https://mlanthology.org/ijcai/2011/gama2011ijcai-learning/) doi:10.5591/978-1-57735-516-8/IJCAI11-213

BibTeX

@inproceedings{gama2011ijcai-learning,
  title     = {{Learning Decision Rules from Data Streams}},
  author    = {Gama, João and Kosina, Petr},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2011},
  pages     = {1255-1260},
  doi       = {10.5591/978-1-57735-516-8/IJCAI11-213},
  url       = {https://mlanthology.org/ijcai/2011/gama2011ijcai-learning/}
}