Imbalanced data learning for biomedical application

Imbalance data learning is an area of study motivated by application of machine-learning concept on real-world data. Due to the overwhelming instances of majority class, conventional machine learning algorithms have poor performance on prediction for minority class instances. This report explores a...

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Bibliographic Details
Main Author: Xie, Vincent JianHan.
Other Authors: Lin Zhiping
Format: Final Year Project (FYP)
Language:English
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/10356/44917