With the advent of the Web along with the unprecedented amount of information available in
electronic format, conceptual data analysis is more useful and practical than ever, because …

It is beneficial to automate the process of deriving concept hierarchies from corpora since a
manual construction of concept hierarchies is typically a time-consuming and resource …

Formal concept analysis (FCA) is currently considered an important formalism for knowledge
representation, extraction and analysis with applications in different areas. A problem …

The notion of fuzzy concept is proposed to deal with object-attribute data with L-values
(where L is a truth-value structure). One disadvantage of fuzzy concept is that a fuzzy context …

Formal concept analysis (FCA) is a mathematical theory of data analysis with applications in
many areas. The problem of obtaining a concept lattice of an appropriate size was identified …

What we propose here is to reduce the size of Galois lattices still conserving their formal
structure and exhaustivity. For that purpose we use a preliminary partition of the instance set …

With the exponential increase in the quantity of information circulating on the Internet, an
evolution of information-retrieval systems becomes paramount. Indeed, current approaches …

We address the problem of finding patterns in an attributed graph. Our approach consists in
extending the standard methodology of frequent closed pattern mining to the case in which …

We first define and experiment the hub-authority core (or HA-core) of a directed network. It
depends on two a and h parameters expressing requirements on hub and authority degrees …

The immersion of voluminous collection of data is inevitable almost everywhere. The
invention of mathematical models to analyse the patterns and trends of the data is an …