On the handling of fuzziness for continuous-valued attributes in decision tree generation
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2015, Fuzzy Sets and SystemsCitation Excerpt :Generally, the scale of a tree is affected by two factors, i.e., the degree of over-partitioning in the induction process, and the selection of heuristic measure for splitting nodes. Information entropy [18,22] and ambiguity [29,34], which respectively reflect the impurity of classes and the uncertainty of the split, are the two most widely used heuristics for splitting nodes during the tree growth. The performances of these two heuristics may differ a lot, however, both of them are uncertainty reduction based methods [31,32] that can be applied to the parallelization of sequential DT.
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