Mining data streams using option trees (revised edition, 2004)

About this item

Title

Mining data streams using option trees (revised edition, 2004)

Content partner

University of Waikato

Collection

ResearchCommons@Waikato

Description

The data stream model for data mining places harsh restrictions on a learning algorithm. A model must be induced following the briefest interrogation of the data, must use only available memory and must update itself over time within these constraints. Additionally, the model must be able to be used for data mining at any point in time. This paper describes a data stream classi_cation algorithm using an ensemble of option trees. The ensemble of trees is induced by boosting and iteratively com...

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Format

Research paper

Research format

Working or discussion paper

Date created

2004-01-01

Creator

Holmes, Geoffrey / Kirkby, Richard Brendon / Pfahringer, Bernhard

URL

https://hdl.handle.net/10289/93

Related subjects

Machine learning

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