Reducing decision tree fragmentation through attribute value grouping: A comparative study
K.M. Ho, P.D. Scott · Intelligent Data Analysis · 2000
The trees constructed by decision tree induction programs are often unnecessarily large and containing substantial degrees of duplication because such programs typically build a separate subtree for each value of a categorical attribute. Attribute va