Learning decision rules from data streams

• Type: Article in International Conference Proceedings Book
• Date: 2011

Authors

João Gama (Author) FEP; Kosina, P (Author) Other

Conference proceedings International

Title: IJCAI International Joint Conference on Artificial Intelligence

Pages: 1255-1260

22nd International Joint Conference on Artificial Intelligence, IJCAI 2011

Barcelona, Catalonia, 16 July 2011 through 22 July 2011

Indexing

Scopus - 71 Citations

Other information

Authenticus ID: P-008-4SH

DOI: 10.5591/978-1-57735-516-8/ijcai11-213

Abstract (EN): Decision rules, which can provide good interpretability and flexibility for data mining tasks, have received very little attention in the stream mining community so far. In this work we 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.

Language: English

Type (Professor's evaluation): Scientific