Efficient Kernel Calculation for Multirelational Data

dc.contributor.author	Rüping, Stefan	de
dc.date.accessioned	2004-12-06T18:49:52Z
dc.date.available	2004-12-06T18:49:52Z
dc.date.issued	2002	de
dc.description.abstract	Today, most of the data in business applications is stored in relational database systems or in data warehouses built on top of relational database systems. Often, for more data is available than can be processed by standard learning algorithms in reasonable time. This paper presents an extension to kernel algorithms that makes use of the more compact relational representation of data instead of the usual attribute-value representation to significantly speed up the kernel calculation.	en
dc.format.extent	70751 bytes
dc.format.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/2003/5209
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-5271
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject	support vector machines	en
dc.subject	efficiency	en
dc.subject.ddc	310	de
dc.title	Efficient Kernel Calculation for Multirelational Data	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access

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