“Our Black Trees uniforms pay tribute to one of the most defining eras in team and league history, while introducing a new generation of fans to the Timberwolves’ legacy,” new Timberwolves CEO Matt ...

Decision trees are a powerful tool for decision-making and predictive analysis. They help organizations process large amounts of data and break down complex problems into clear, logical steps. Used in ...

ABSTRACT: Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision ...

Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision tree, ...

1 State Key Laboratory of HVDC, CSG Electric Power Research Institute, China Southern Power Grid, Guangzhou, China 2 School of Electric Power Engineering, South China University of Technology, ...

This repository contains a simple implementation of the ID3 decision tree learning algorithm in Python. The ID3 algorithm is a popular machine learning algorithm used for building decision trees based ...

Abstract: In this paper, data mining technology is applied to fraud detection, established the fraud detection model, described the process of creating the fraud detection model, then established data ...

Abstract: Classification is the main research target of many algorithms in data mining. Of all the algorithms, decision trees are more preferred by researchers due to their clarity and readability.