Cache Hierarchy Inspired Compression: a Novel Architecture for Data Streams

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Title

Cache Hierarchy Inspired Compression: a Novel Architecture for Data Streams

Content partner

University of Waikato

Collection

ResearchCommons@Waikato

Description

We present an architecture for data streams based on structures typically found in web cache hierarchies. The main idea is to build a meta level analyser from a number of levels constructed over time from a data stream. We present the general architecture for such a system and an application to classification. This architecture is an instance of the general wrapper idea allowing us to reuse standard batch learning algorithms in an inherently incremental learning environment. By artificially g...

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Format

Research paper

Research format

Journal article

Date created

2006

Creator

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

URL

https://hdl.handle.net/10289/1457

Related subjects

computer science / data streams / classification / cache hierarchy / Machine learning

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This article has been published in the journal: Journal of Information Technology in Asia. Used with permission.

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