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

• Hoofdauteurs: Terence, Yong Koon Beh (Auteur), Swee, Chuan Tan (Auteur), Hwee, Theng Yeo (Auteur)
• Formaat: Boek
• Gepubliceerd in: Penerbit UiTM, 2014.
• Onderwerpen: Article; PeerReviewed
• Online toegang: Link Metadata

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...