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 …

Context Data mining (DM) provides the methodology and technology needed to transform
huge amounts of data into useful information for decision making. It is a powerful process …

Hemodialysis patients might suffer from unhealthy care behaviors or long-term dialysis
treatments and need to be hospitalized. If the hospitalization rate of a hemodialysis center is …

Supervised learning problems can be faced by using a wide variety of approaches
supported in machine learning. In recent years there has been an increasing interest in …

Besides providing students with different representations of knowledge and enhancing
interaction among teachers and students, VLEs store a vast amount of students' data with a …

Microbiota analysis can provide valuable insights in various fields, including diet and
nutrition, understanding health and disease, and in environmental contexts, such as …

In this study a decision support system has been designed from the biochemistry blood
parameters which will be very helpful for and will make everything easier for the physicians …

In order to have the greatest treatment impact the early and accurate diagnose of
Alzheimer's disease (AD) is essential. In this paper we present a method for analyzing EEG …

In the paper a new outlier prediction method is presented that should improve the
classification performance when mining the medical data. The method introduces the class …

Data mining provides the methodology and technology to transform huge amount of data
into useful information for decision making. It is a powerful process to extract knowledge and …