Titlebook: Data Mining; Special Issue in Ann Robert Stahlbock,Sven F. Crone,Stefan Lessmann Book 2010 Springer-Verlag US 2010 Business Intelligence.Te

Fraudulent

笨重

https://doi.org/10.1007/978-1-4419-1280-0Business Intelligence; Text Mining; classification; data analysis; data mining; knowledge discovery; stati

ARM

978-1-4419-1279-4Springer-Verlag US 2010

伪善

Subdue

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

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

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.

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