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2005
IEEE

Cache Hierarchy Inspired Compression: a Novel Architecture for Data Streams

11 years 7 months ago
Cache Hierarchy Inspired Compression: a Novel Architecture for Data Streams
- 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 generating data sources we demonstrate that a hierarchy containing a mixture of models is able to adapt over time to the source of the data. In these experiments the hierarchies use an elementary performance based replacement policy and unweighted voting for making classification decisions.
Geoffrey Holmes, Bernhard Pfahringer, Richard Kirk
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where CITA
Authors Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby
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