Bridging Local And Global Data Cleansing: Identifying Class Noise In Large, Distributed Data Datasets

Abstract

To cleanse mislabeled examples from a training dataset for efficient and effective induction, most existing approaches adopt a major set oriented scheme: the training dataset is separated into two parts (a major set and a minor set). The classifiers lear