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Erschienen in:
2013 | OriginalPaper | Buchkapitel
A Novel Attributes Partition Method for Decision Tree
verfasst von : Zhen Li, Aili Han, Feilin Han
Erschienen in: Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013
Verlag: Springer Berlin Heidelberg
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Abstract
In the decision tree’s making phase, it is frequent to find the optimal partition of elements with different values of a category attribute at a node. This needs to search over all the partitions for the one with the minimal impurity, which is exponential in n. We present a new heuristic search algorithm, SORT_DP, to find an effective partition, which is polynomial in n. The method uses the mapping from the class probability space to the sub-spaces and the technique of dynamic programming. By comparing the performance against other methods through experiments, we demonstrated the effectiveness of the new method.