Nghi T. Do

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Our investigation aims at interactively exploring the decision tree results obtained by the machine-learning algorithms like C4.5. We propose an interactive graphical environment using the new radial tree layout, zoom/pan techniques and some existing visualization methods like explorer-like, hierarchical visualization, interactive techniques to represent(More)
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