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, ...

We use the underlying concept of a Self Exciting Threshold Autoregressive (SETAR) model to develop this new tree algorithm. In contrast to the traditional tree-based algorithms which consider the ...

Abstract: This study aims to select pet adopters based from the model created from the C4.5 decision tree algorithm to address the proper way for adoption of a pet through online examination. This ...

A C++ project to visualize how two of the most common minimum spanning tree (MST) algorithms work - mainly Kruskal's and Prim's. The application allows the user to randomly generate a tree structure ...

1 Department of Mathematics and Computer Science, Faculty of Sciences, University of Dschang, Dschang, Cameroon. 2 INRIA, Paris, France. Semi-structured documents are increasingly used in the IT ...