Building classification models from imbalanced fraud detection data / Terence Yong Koon Beh, Swee Chuan Tan and Hwee Theng Yeo

Many real-world data sets exhibit imbalanced class distributions in which almost all instances are assigned to one class and far fewer instances to a smaller, yet usually interesting class. Building classification models from such imbalanced data sets is a relatively new challenge in the machine lea...

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Bibliographic Details
Main Authors: Terence, Yong Koon Beh, Swee, Chuan Tan, Hwee, Theng Yeo
Format: Article
Language:English
Published: Penerbit UiTM 2014
Online Access:https://ir.uitm.edu.my/id/eprint/13930/1/13930.pdf
https://ir.uitm.edu.my/id/eprint/13930/
https://mjoc.uitm.edu.my/
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