---
title: "Learning Decision Rules from Data Streams"
authors:
  - "João Gama"
  - "Petr Kosina"
doi: "10.5591/978-1-57735-516-8/IJCAI11-213"
url: "https://ijcai.org/proceedings/2011/213"
pdf: "https://ijcai.org/proceedings/2011/0213.pdf"
venue: "Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence"
year: 2011
pages: "1255-1259"
track: ""
keywords:
---

# Learning Decision Rules from Data Streams

João Gama, Petr Kosina

*Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence*, pages 1255-1259. DOI: [10.5591/978-1-57735-516-8/IJCAI11-213](https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-213)

## 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.