Leakage in Data Mining: Formulation, Detection, and Avoidance

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Date: 2011-10-17 14:00:43 Data mining Data analysis Leakage Overfitting Business intelligence Concept drift Data dredging Entity-relationship model Statistics Science Machine learning		Leakage in Data Mining: Formulation, Detection, and Avoidance Add to Reading List Source URL: www.cs.umb.edu Download Document from Source Website File Size: 847,57 KB Share Document on Facebook

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