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- W2364774030 abstract "When both costs and probabilities are unknown in test cases in the field of data mining,it is necessary to estimate cost and probability.A thought and decesion-making process of a direct Cost-Sensitive decision-making method are proposed.Decision tree and Bayesian learning methods are used in cost estimating and probability estimating.Based on the above methods,the cost can be estimated by calibration.It shows that the direct Cost-Sensitive decision-making method performs better than Metacost method." @default.
- W2364774030 created "2016-06-24" @default.
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- W2364774030 date "2009-01-01" @default.
- W2364774030 modified "2023-09-23" @default.
- W2364774030 title "Making Decisions When Costs and Probabilities are Both Unknown" @default.
- W2364774030 hasPublicationYear "2009" @default.
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