Learning in imbalanced relational data

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Learning in imbalanced relational data

Traditional learning techniques learn from flat data files with the assumption that each class has a similar number of examples. However, the majority of real-world data are stored as relational systems with imbalanced data distribution, where one class of data is over-represented as compared with o...

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Bibliographic Details
Main Authors:	Ghanem, Amal, Venkatesh, Svetha, West, Geoff
Other Authors:	M. Ejiri
Format:	Conference Paper
Published:	IAPR 2008
Online Access:	http://hdl.handle.net/20.500.11937/2826

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