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

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 ...

The authors’ approach is based on differences between assembly op-code frequencies in malware and benign classes. They have also utilized decision tree algorithms to simplify the classification.

Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are turning ...

Additionally, a decision tree algorithm determines the best plan in light of the uncertainties of weather and weather forecasts. This air mission planning algorithm omits many of the details in the ...

In this paper, we study the performance of various state-of-the-art classification algorithms applied to eight real-life credit scoring data sets. Some of the data sets originate from major Benelux ...

A good way to see where this article is headed is to take a look at the screenshot in Figure 1. The demo program loads a 200-item set training data and a 40-item set of test data into memory. Next, ...