Fuzzy and smote resampling technique for imbalanced data sets

• Main Authors: Zorkeflee, Maisarah, Mohamed Din, Aniza, Ku-Mahamud, Ku Ruhana
• Format: Conference or Workshop Item
• Language: English
• Published: 2015
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://repo.uum.edu.my/15646/1/PID160.pdf; http://repo.uum.edu.my/15646/; http://www.icoci.cms.net.my/proceedings/2015/TOC.html
• Institution: Universiti Utara Malaysia

There are many factors that could affect the performance of a classifier.One of these factors is having imbalanced datasets which could lead to problem in classification accuracy.In binary classification, classifier often ignores instances in minority class.Resampling technique, specifically, unders...