IREP++, a Faster Rule Learning Algorithm
Oliver Dain, Robert K. Cunningham, Stephen Boyer · 2004
We present IREP++, a rule learning algorithm similar to RIPPER and IREP. Like these other algorithms IREP++ produces accurate, human readable rules from noisy data sets. However IREP++ is able to produce such rule sets more quickly and can often express the target concept with fewer rules and fewer literals per rule resulting in a concept description that is easier for humans to understand. The new algorithm is fast enough for interactive training with very large data sets.