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dc.contributor.authorHolmes, Geoffrey
dc.contributor.authorPfahringer, Bernhard
dc.contributor.authorKirkby, Richard Brendon
dc.date.accessioned2008-11-25T01:02:16Z
dc.date.available2008-11-25T01:02:16Z
dc.date.issued2006
dc.identifier.citationHolmes, G., Pfahringer, B., Kirkby, R. (2006). Cache Hierarchy Inspired Compression: a Novel Architecture for Data Streams, Journal of Information Technology in Asia, 2.en_US
dc.identifier.issn1823-5042
dc.identifier.urihttps://hdl.handle.net/10289/1457
dc.description.abstractWe 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.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.relation.urihttp://www.fcsit.unimas.my/jita/index.htmlen_US
dc.rightsThis article has been published in the journal: Journal of Information Technology in Asia. Used with permission.en_US
dc.subjectcomputer scienceen_US
dc.subjectdata streamsen_US
dc.subjectclassificationen_US
dc.subjectcache hierarchyen_US
dc.titleCache Hierarchy Inspired Compression: a Novel Architecture for Data Streamsen_US
dc.typeJournal Articleen_US


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