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Adaptive sampling methods for scaling up knowledge discovery algorithms

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Publication:1597451
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DOI10.1023/A:1014091514039zbMath1009.68036MaRDI QIDQ1597451

Osamu Watanabe, Carlos Domingo, Ricard Gavaldà

Publication date: 30 May 2002

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)


zbMATH Keywords

scalabilitydata mining algorithm


Mathematics Subject Classification ID

Database theory (68P15)


Related Items (8)

Decomposition and Adaptive Sampling for Data-Driven Inverse Linear Optimization ⋮ Mining evolving data streams for frequent patterns ⋮ Absolute convergence and error thresholds in non-active adaptive sampling ⋮ Methods for pattern selection, class-specific feature selection and classification for automated learning ⋮ Adaptive data reduction for large-scale transaction data ⋮ Optimization-based feature selection with adaptive instance sampling ⋮ Scalable Gaussian kernel support vector machines with sublinear training time complexity ⋮ Sequential sampling techniques for algorithmic learning theory




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