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

Publisher:
Springer
Publication Type:
Journal Article
Citation:
Data Mining and Knowledge Discovery, 2006, 12 (2-3), pp. 275 - 308
Issue Date:
2006-01
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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
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