Fuzzy distance-based undersampling technique for imbalanced flood data

• Main Authors: Ku-Mahamud, Ku Ruhana, Zorkeflee, Maisarah, Mohamed Din, Aniza
• Format: Conference or Workshop Item
• Language: English
• Published: 2016
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://repo.uum.edu.my/20158/1/KMICe2016%20509%20513.pdf; http://repo.uum.edu.my/20158/; http://www.kmice.cms.net.my/kmice2016/files/KMICe2016_eproceeding.pdf
• Institution: Universiti Utara Malaysia

Performances of classifiers are affected by imbalanced data because instances in the minority class are often ignored. Imbalanced data often occur in many application domains including flood. If flood cases are misclassified, the impact of flood is higher than the misclassification of non-flood cas...