Classification and Regression Trees, Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone, 1984 (Chapman and Hall/CRC)DOI: https://doi.org/10.1201/9781315139470 - The seminal work introducing the Classification and Regression Tree (CART) algorithm, detailing its structure, splitting criteria, and recursive partitioning process.
Machine Learning, Tom M. Mitchell, 1997 (McGraw-Hill) - A classic textbook that provides a clear and accessible introduction to decision tree learning, including the ID3 algorithm and concepts of entropy and information gain.
CS229: Machine Learning Lecture Notes, Andrew Ng, Tengyu Ma, 2023 - Lecture notes from a renowned university course, offering concise and clear explanations of fundamental machine learning concepts, including decision trees, impurity measures, and recursive partitioning.