Fraudulent
发表于 2025-3-26 21:11:37
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笨重
发表于 2025-3-27 01:48:26
https://doi.org/10.1007/978-1-4419-1280-0Business Intelligence; Text Mining; classification; data analysis; data mining; knowledge discovery; stati
ARM
发表于 2025-3-27 06:24:38
978-1-4419-1279-4Springer-Verlag US 2010
伪善
发表于 2025-3-27 13:14:35
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Subdue
发表于 2025-3-27 15:35:51
Stefan Dehlin,Catrin Heincke,Peter Koskinenributions in a naive Bayes classifier. Our theoretical and empirical results in these and other cases support the conclusion that the relative performance of costsensitive learning and resampling is dependent on both the classifier and the data characteristics.
简洁
发表于 2025-3-27 19:12:40
Der Himmel über Prag, eine Intervisiondata of a large-scale organizational intranet portal. The portal has extensive number of resources, significant traffic, and large knowledge worker user base. The experimental results indicate satisfactory performance.
轻浮思想
发表于 2025-3-28 01:04:21
An Extended Study of the Discriminant Random Forest empirical tests suggest that this approach is computationally less costly with respect to both memory and efficiency. Further enhancements of the methodology are investigated that exhibit significant performance improvements and greater stability at low false alarm rates.
obeisance
发表于 2025-3-28 04:20:20
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harrow
发表于 2025-3-28 10:18:11
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AV-node
发表于 2025-3-28 11:22:12
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