Probabilistic models for mining imbalanced relational data
Most data mining and pattern recognition techniques are designed for learning from at data files with the assumption of equal populations per class. However, most real-world data are stored as rich relational databases that generally have imbalanced class distribution. For such domains, a rich relat...
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| Format: | Thesis |
| Language: | English |
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Curtin University
2009
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| Online Access: | http://hdl.handle.net/20.500.11937/2266 |