Evolutionary algorithms have emerged as a robust alternative to traditional greedy approaches for decision tree induction. By mimicking the natural selection process, these algorithms iterate over a ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A multi-class classification problem is one where the goal is to predict the ...

Objective: To determine whether classification tree techniques used on survey data collected at enrollment from older adults in a Medicare HMO could predict the likelihood of an individual being in a ...

The visual data mining process, seen in the first part of this two-part article, revealed patterns in four dimensions between cumulative gas well production and independent variables. "Jump ...

A new classification tree offers a practical alternative for evaluating esophagogastric junction outflow disorders when more ...

Now the buyside can monitor and rank its brokers’ algorithms and switching engines in real-time. Kissell Research Group now offers a measurement tool, dubbed Algorithmic Decision Selection Tree, which ...