Artificial intelligence (AI) emphasises the creation of intelligent machines/systems that
function like humans. AI has been applied to many real-world applications. Machine …

Early prediction of school dropout is a serious problem in education, but it is not an easy
issue to resolve. On the one hand, there are many factors that can influence student …

We present an integrated algorithm for simultaneous feature selection (FS) and designing of
diverse classifiers using a steady state multiobjective genetic programming (GP), which …

The usage of imbalanced databases is a recurrent problem in real-world data such as
medical diagnostic, fraud detection, and pattern recognition. Nevertheless, in class …

Pattern mining is one of the most important tasks to extract meaningful and useful
information from raw data. This task aims to extract item-sets that represent any type of …

Negative sequential patterns (NSPs), which capture both frequent occurring and
nonoccurring behaviors, become increasingly important and sometimes play a role …

This paper presents a system that utilizes process recommendation technology to help
design new business processes from scratch in an efficient and accurate way. The proposed …

Contrast set mining is one of the most important tasks in the supervised descriptive pattern
mining field. It aims at finding patterns whose frequencies differ significantly among sets of …

Symbolic regression (SR) is an important problem with many applications, such as
automatic programming tasks and data mining. Genetic programming (GP) is a commonly …

Subgroup discovery is a data mining technique that discovers interesting associations
among different variables with respect to a property of interest. Existing subgroup discovery …