Discovering knowledge from noisy databas
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Wong, Man Leung ;Leung, Kwong Sak ;Cheng, Jack C. Y.
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Article
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2000
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John Wiley and Sons
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English
β 169 KB
In data mining, we emphasize the need for learning from huge, incomplete, and imperfect data sets. To handle noise in the problem domain, existing learning systems avoid overfitting the imperfect training examples by excluding insignificant patterns. The problem is that these systems use a limiting