An introduction to decision tree modeling

By A. J. Myles, Robert N. Feudale, Yang Liu, Nathaniel Woody, Steven D. Brown. 2004

1,217 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Industrial and Manufacturing Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/cd24d76ca12e5ba27066132c0d74f6bbf94ce46c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Industrial and Manufacturing Engineering

1. Joseph Homer Saleh
2. Zhaoyi Xu

Citations in the corpus

• All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda (2021, neutral): “forest [227], and decision tree [228].”
• Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities (2020, methodology): “For this reason, DTs are described as conditional control-based algorithms in which each node of the tree structure represents a “test” on a feature, and each branch a possible outcome of the test [104].”