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...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Springer Berlin / Heidelberg
2009
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| Online Access: | http://hdl.handle.net/20.500.11937/6513 |