Innovation requires information, context, collaboration, experimentation, and even failure. Using simulation to make decisions across the product life cycle, from initial concept to end of life and ...

Decision tree induction algorithms are widely used in knowledge discovery and data mining, specially in scenarios where model comprehensibility is desired. A variation of the traditional univariate ...

RainForest is a scalable way to implement decision tree construction algorithms. It consists of several algorithms, of which the best one is a hybrid between a traditional recursive implementation and ...