Classifying Multiple imbalanced attributes in relational data

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Classifying Multiple imbalanced attributes in relational data

Real-world data are often stored as relational database systems with different numbers of significant attributes. Unfortunately, most classification techniques are proposed for learning from balanced nonrelational data and mainly for classifying one single attribute. In this paper, we propose an app...

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Bibliographic Details
Main Authors:	Ghanem, Amal, Venkatesh, Svetha, West, Geoffrey
Other Authors:	Ann Nicholson
Format:	Conference Paper
Published:	Springer Berlin / Heidelberg 2009
Online Access:	http://hdl.handle.net/20.500.11937/6513

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