Heart disease is the leading cause of death globally, and early detection is crucial in
preventing the progression of the disease. In this paper, an improved machine learning …

The induction of decision trees is a widely-used approach to build classification models that
guarantee high performance and expressiveness. Since a recursive-partitioning strategy …

The integration of the physical and digital world has become increasingly important, and
location-based services have become the most sought-after application in the field of the …

Distributed denial of service (DDoS) attacks are a major security threat against the
availability of conventional or cloud computing resources. Numerous DDoS attacks, which …

The diagnosis of Parkinson's disease (PD) is important in neurological pathology for
appropriate medical therapy. Algorithms based on decision tree induction (DTI) have been …

Abstract Decision Trees (DTs) are a class of supervised learning models that are widely
used for both classification and regression applications. They are well-known for their …

The impact of SARS-CoV-2 infection remains substantial on a global scale, despite
widespread vaccination efforts, early therapeutic interventions, and an enhanced …

The worldwide adoption of mobile devices is raising the value of Mobile Performance
Marketing, which is supported by Demand-Side Platforms (DSP) that match mobile users to …

Different demographic, clinical and laboratory variables have been related to the severity
and mortality following SARS-CoV-2 infection. Most studies applied traditional statistical …

Bipolar disorder is a serious psychiatric disorder characterized by periodic episodes of
manic and depressive symptomatology. Due to the high percentage of people suffering from …