This paper presents a survey of evolutionary algorithms that are designed for decision-tree
induction. In this context, most of the paper focuses on approaches that evolve decision …

Alzheimer's disease is one of the most common forms of dementia affecting millions of
senior people worldwide. In this paper, we develop an Alzheimer's disease prediction model …

Decision trees are among the most popular classification algorithms due to their knowledge
representation in form of decision rules which are easy for interpretation and analysis …

Feature selection is an essential process for machine learning tasks since it improves
generalization capabilities, and reduces run-time and a model's complexity. In many …

In the past few years, a growing demand for credit compel banking institution to contemplate
machine learning techniques as an answer to obtain decisions in a reduced time. Different …

Classification, which is the data mining task of assigning objects to predefined categories, is
widely used in the process of intelligent decision making. Many classification techniques …

Cancer is the second most threatening disease in the world today, not only because of its
mortality rate, but also due to the brutal changes it imposes on the patient's life, and the fact …

The applicability of learning methods to raw data coming from different areas of human
activity is one of the main concerns in data mining research today. This paper emphasizes …

Data mining technology is becoming increasingly important and popular due the huge
amounts of digital data that is stored globally. It provides methods and techniques to analyze …

Recent statistics show that cancer has become one of the most serious threats to human life
nowadays, being the second cause of death in the USA in 2004. The American Cancer …