AAAI Publications, Twenty-Second International Joint Conference on Artificial Intelligence

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Learning Decision Rules from Data Streams
João Gama, Petr Kosina

Last modified: 2011-06-28

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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