Clustering is a fundamental technique in data mining and pattern recognition, which has
been successfully applied in several contexts. However, most of the clustering algorithms …

The pervasive use of AI today caused an urgent need for human-compliant AI approaches
and solutions that can explain their behavior and decisions in human-understandable terms …

In artificial intelligence, abstraction is commonly used to account for the use of various levels
of details in a given representation language or the ability to change from one level to …

Abstract Traditional Machine Learning approaches based on single inference mechanisms
have reached their limits. This causes the need for a framework that integrates approaches …

This paper tackles the problem that methods for proposition-alization and feature
construction in first-order logic to date construct features in a rather unspecific way. That is …

In the last ten years, several approaches for knowledge discovery in databases based upon
the construction of a concept lattice have been developed. Most of them are dedicated to …

This paper addresses the problem of the automatic building of classifications to organize
knowledge. The goal is to generate the set of least general generalizations of the objects …