One of the current challenges in the field of data mining is to develop techniques to analyze uncertain data. Among these techniques, in this paper we focus on decision tree classifiers. In particular, we introduce a new data structure that can be used to represent multiple decision trees generated from uncertain datasets.

Uncertainty in decision tree classifiers

MAGNANI, MATTEO;MONTESI, DANILO
2010

Abstract

One of the current challenges in the field of data mining is to develop techniques to analyze uncertain data. Among these techniques, in this paper we focus on decision tree classifiers. In particular, we introduce a new data structure that can be used to represent multiple decision trees generated from uncertain datasets.
International conference on Scalable Uncertainty Management
250
263
M. Magnani; D. Montesi
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/98567
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