Research paper

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...

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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