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

Publication Type:
Journal Article
Data Mining and Knowledge Discovery, 2006, 12 (2-3), pp. 275 - 308
Issue Date:
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2011000607OK.pdf570.46 kB
Adobe PDF
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
Please use this identifier to cite or link to this item: