EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data

EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data

Classification problems with an imbalanced class distribution have received an increased amount of attention within the machine learning community over the last decade. They are encountered in a growing number of real-world situations and pose a challenge to standard machine learning techniques. We...

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Bibliographic Details
Main Authors: Vluymans, Sarah, Triguero, Isaac, Cornelis, Chris, Saeys, Yvan
Format: Article
Published: Elsevier 2016
Subjects:
Imbalanced data; Prototype selection; Prototype generation; Differential evolution; Nearest neighbor
Online Access:https://eprints.nottingham.ac.uk/36055/

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