Maximizing classifier utility when there are data acquisition and modeling costs.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/datamine/WeissT08
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2008
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Maximizing classifier utility when there are data acquisition and modeling costs.
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253-282
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Data mining; Machine learning; Induction; Decision trees; Utility-based data mining; Cost-sensitive learning; Active learning
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Maximizing classifier utility when there are data acquisition and modeling costs.
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