An Extended Study of the Discriminant Random Forest

• Published in: Data Mining pp. 123 - 146
• Main Authors: Lemmond, Tracy D., Chen, Barry Y., Hatch, Andrew O., Hanley, William G.
• Format: Book Chapter
• Language: English
• Published: Boston, MA Springer US 2010
• Series: Annals of Information Systems
• Subjects: False Alarm Rate; Linear Discriminant Analysis; Node Splitting; Random Forest; Split Dimension

Classification technologies have become increasingly vital to information analysis systems that rely upon collected data to make predictions or informed decisions. Many approaches have been developed, but one of the most successful in recent times is the random forest. The discriminant random forest...