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KAIS
2008

Multirelational classification: a multiple view approach

13 years 3 months ago
Multirelational classification: a multiple view approach
Multirelational classification aims at discovering useful patterns across multiple inter-connected tables (relations) in a relational database. Many traditional learning techniques, however, assume a single table or a flat file as input (the so-called propositional algorithms). Existing multirelational classification approaches either "upgrade" mature propositional learning methods to deal with relational presentation or extensively "flatten" multiple tables into a single flat file, which is then solved by propositional algorithms. This article reports a multiple view strategy--where neither "upgrading" nor "flattening" is required--for mining in relational databases. Our approach learns from multiple views (feature set) of a relational databases, and then integrates the information acquired by individual view learners to construct a final model. Our empirical studies show that the method compares well in comparison with the classifiers induced b...
Hongyu Guo, Herna L. Viktor
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2008
Where KAIS
Authors Hongyu Guo, Herna L. Viktor
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