In this paper, we propose a hybrid and exploratory knowledge discovery approach for
analyzing metabolomic complex data based on a combination of supervised classifiers …

Abstract Formal Concept Analysis (FCA) is a field of applied mathematics with its roots in
order theory, in particular the theory of complete lattices. It is not only a method for data …

Abstract Knowledge Discovery in Databases (KDD) and especially pattern mining can be
interpreted along several dimensions, namely data, knowledge, problem-solving and …

A number of extensions have been proposed for Formal Concept Analysis (FCA). Among
them, Pattern Structures (PS) bring complex descriptions on objects, as an extension to sets …

Knowledge discovery in database (KDD) is a process which is applied to possibly large
volumes of data for discovering patterns which can be significant and useful. In this thesis …

A growing part of Big Data is made of knowledge graphs. Major knowledge graphs such as
Wikidata, DBpedia or the Google Knowledge Graph count millions of entities and billions of …

The increasing reliance on data for decision making has led to a number of techniques for
automatic knowledge acquisition such as Formal Concept Analysis (FCA). FCA creates a …

In the beginning, I would like to thank my supervisor Amedeo Napoli for considering me
capable enough of doing a thesis, and my first co-supervisor Chedy Raïssi, who was …