Machine learning is a branch of artificial intelligence that gives computers the ability to learn from their experiences and get better on their own.…
Browsing: Decision Trees
This Special Issue aims to present new approaches for analysing huge volumes of data and recognising hidden patterns and experimental results in the area…
Machine learning is a subset of artificial intelligence that enables systems to learn and improve from experience autonomously. This article provides an overview of…
This article discusses the use of machine learning algorithms to identify important anthropometric factors that may predict hypertension (HTN) in adults aged 35-65 years.…
Predictive analytics is an analytics process that uses statistics and modeling techniques to make informed decisions and predictions about future outcomes based on current…
This article presents a proposed botnet detection approach that integrates hybrid feature selection strategies with an additional trees ensemble classifier. The model is able…
Fintech companies need to provide great customer service to stand out in a competitive market. Interactive decision trees are automated flows that use customer…
This study employed artificial neural network (ANN), support vector regression and random forest regression approaches for forecasting. ANNs are a type of machine learning…
This Special Issue aims to publish extended versions of papers in machine learning communications and electronics. Potential topics include but are not limited to…
This paper investigates the ability of ensemble learning to predict and identify factors that influence or contribute to autism spectrum disorder therapy (ASDT) for…