Data mining is a powerful method to extract knowledge from data. Raw data faces various
challenges that make traditional method improper for knowledge extraction. Data mining is …

Abstract Recently, Artificial Intelligence (AI) has been used widely in medicine and health
care sector. In machine learning, the classification or prediction is a major field of AI. Today …

Recent advancements in high-speed communications and high-capacity computing systems
have contributed to major growth in the data volume of databases. Data mining is a crucial …

The use of the term affinity has been gradually spreading in several disciplines from multiple
viewpoints. Among all these approaches, the concept of consumer affinity, which explains …

Veri madenciliği yöntem ve tekniklerinin sağlık sektörü veritabanlarında kullanımıyla
özellikle hastane veya sağlık kurumları yöneticilerinin veya bu alanda politika yapıcılarının …

The demand to travel by rail is ever increasing because it benefits passengers. Also it is
important for railway administrators to carry passengers safely to their destinations. One of …

The affinity notion has been widely used in research fields. Thus, in this research, affinity is
employed to find the degree between two data sets and classify through prediction. But, as …

Measuring the performance of Non-Profit Organizations (NPOs) is a complicated issue: data
envelopment analysis (DEA) is a popular quantitative tool in the past literature. However, the …

Objectives: The objectives of this research were to test the ability of classification algorithms
to predict the cause of death in the mortality data with unknown causes, to find association …

Predictive models have been used widely to predict the diseases outcomes in health sector.
These predictive models are emerged with new information and communication …