In this research we applied classification models for prediction of students' performance, and
cluster models for grouping students based on their cognitive styles in e-learning …

We have classified the archipelago of Puerto Rico into a set of homogeneous and coherent
natural landscape units. Such a classification may serve as the basic division of the territory …

The paper pursues a twofold goal. The first goal refers to the identification of university
students' needs regarding such modifications to English language courses that would …

We propose a generic decision tree framework that supports reusable components design.
The proposed generic decision tree framework consists of several sub-problems which were …

Clustering is among the most popular data mining algorithm families. Before applying
clustering algorithms to datasets, it is usually necessary to preprocess the data properly …

Intensity inhomogeneity is a smooth intensity change inside originally homogeneous
regions. Filter-based inhomogeneity correction methods have been commonly used in …

Class retrieval in gene expression microarray data analysis is highly challenging task.
Because of high class imbalance, highly dimensional feature space and small number of …

The mainstream in undergraduate data mining algorithm education is using algorithms as
black-boxes with known inputs and outputs, while students have the possibility to adjust …

Rapid growth and storage of biomedical data enabled many opportunities for predictive
modeling and improvement of healthcare processes. On the other side analysis of such …

Nowadays, fast scan techniques are used to reduce scanning times. These techniques raise
scanning noise level in MRI systems. Instead of progress made in image de-noising, still, it is …