Multi-class Pattern Classification in Imbalanced Data

Multi-class Pattern Classification in Imbalanced Data

The majority of multi-class pattern classification techniques are proposed for learning from balanced datasets. However, in several real-world domains, the datasets have imbalanced data distribution, where some classes of data may have few training examples compared for other classes. In this paper...

Full description

Bibliographic Details
Main Authors: Ghanem, Amal, Venkatesh, Svetha, West, Geoffrey
Other Authors: -
Format: Conference Paper
Published: IEEE 2010
Subjects:
imbalanced class problem
ensemble learning
multi-class classification
Online Access:http://hdl.handle.net/20.500.11937/24624

Similar Items

Similar Items