IEEE

Comparing Decision Tree Algorithms for Business Classification Problems – A Systematic Literature Review

Abstract: Because of their transparency, interpretability, and efficiency in classification tasks, decision tree algorithms are the foundation of many Business Intelligence (BI) and Analytics ...
GitHub

Awesome Decision, Classification, and Regression Tree Research Papers

Les E. Atlas, Ronald A. Cole, Jerome T. Connor, Mohamed A. El-Sharkawi, Robert J. Marks II, Yeshwant K. Muthusamy, Etienne Barnard [Paper] ...
IEEE

Decision Trees for Mining Data Streams Based on the McDiarmid's Bound

Abstract: In mining data streams the most popular tool is the Hoeffding tree algorithm. It uses the Hoeffding's bound to determine the smallest number of examples needed at a node to select a ...
Frontiers

Decision trees: from efficient prediction to responsible AI

This article provides a birds-eye view on the role of decision trees in machine learning and data science over roughly four decades. It sketches the evolution of decision tree research over the years, ...
PNAS

Theoretical guarantees for phylogeny inference from single-cell lineage tracing

The recent application of CRISPR-Cas9 barcode editing technologies, by allowing for the continuous accumulation of information-rich mutations, has greatly increased the scale and resolution of studies ...