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.
M. Magnani, D. Montesi (2010). Uncertainty in decision tree classifiers. BERLIN : Springer.
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.File in questo prodotto:
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