An efficient algorithm for induction with random sampling

Decision trees induction is among powerful and commonly encountered architecture for extracting of classification knowledge from datasets of labeled instances. However, learning decision trees from large irrelevant datasets is quite different from learning small and moderate sized datasets. In this ... View More