Probabilistic models for mining imbalanced relational data

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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Bibliographic Details
Main Author: Ghanem, Amal Saleh
Format: Thesis
Language:English
Published: Curtin University 2009
Subjects:
relational learning
probabilistic relational models (PRMs)
mining imbalanced relational domains
imbalanced class distribution
attribute-based Bayesian Networks
Online Access:http://hdl.handle.net/20.500.11937/2266

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