Decision tree ensemble constructing algorithms and their comparative analysis

Constructing Simpler Decision Trees from Ensemble Models Using Fourier Analysis

Algorithms for Constructing Comparative Maps

Comparative maps are a powerful tool for aggregating genetic information about related organisms, for inferring phylogenetic relationships, and for examining hypotheses about the evolution of gene families and the functional significance of orthologous genes. Construction of any genetic map is laborious, but compiling comparative maps across multiple species requires a large investment of manua...

Ecg Signal Classification Using Ensemble Decision Tree

The electrocardiogram (ECG) is a non-invasive method to measure and record the electrical activity of the heart. ECG signal analysis has an important role on the diagnosis of heart diseases especially, abnormal or irregular heartbeats, namely arrhythmia. There are three basic waves; P, QRS and T in healthy EGC signal. The detection of these waves and time domain morphological properties represe...

Fault Detection in Ring Based Smart LVDC Microgrid Using Ensemble of Decision Tree

In modern infrastructure, the demand for DC power-based appliances is rapidly increasing, and this phenomenon has created a positive impact on the acceptance of the DC microgrid. However, due to numerous issues such as the absence of zero crossing, bidirectional behaviour of sources, and different magnitudes of fault current during grid connected and islanded modes of operation, protecting DC m...

Early Prediction of Gestational Diabetes Using ‎Decision Tree and Artificial Neural Network Algorithms

Introduction: Gestational diabetes is associated with many short-term and long-term complications in mothers and newborns; hence, the detection of its risk factors can contribute to the timely diagnosis and prevention of relevant complications. The present study aimed to design and compare Gestational diabetes mellitus (GDM) prediction models using artificial intelligence algorithms. Materials ...