method examines whether performing instance selection to remove some noisy data from the majority class can improve the … performance of one-class classifiers. The second method combines instance selection and missing value imputation, where the latter … class imbalanced datasets; three instance selection algorithms, including IB3, DROP3 and the GA, the CART decision tree for …

Instance selection and feature selection are important steps in the data mining process. They help reduce the excessive … can resolve the problem of instance and feature selection. In this article, the authors propose a new instance selection …