Classification and Regression Trees

This book presents the methodology for constructing tree-structured rules for classification and regression, which was computationally intensive and unthinkable before computers.

It covers both practical applications as a data analysis tool and theoretical foundations, including proofs of fundamental properties, splitting rules, pruning techniques, and real-world examples like medical diagnosis and mass spectra classification.