In this chapter, we introduce Formal Concept Analysis (FCA) and some of its extensions.
FCA is a formalism based on lattice theory aimed at data analysis and knowledge …

Abstract Knowledge Graph (KG) has attracted more and more companies' attention for its
ability to connect different types of data in meaningful ways and support rich data services …

This article aims at presenting recent advances in Formal Concept Analysis (2010-2015),
especially when the question is dealing with complex data (numbers, graphs, sequences …

Subgroup discovery is the task of discovering patterns that accurately discriminate a class
label from the others. Existing approaches can uncover such patterns either through an …

Order and lattice theory provides convenient mathematical tools for pattern mining, in
particular for condensed irredundant representations of pattern spaces and their efficient …

Projections of pattern structures don't always lead to pattern structures, however residual
projections and o-projections do. As a unifying approach, we introduce the notion of pattern …

In pattern mining, one of the most important problems is fighting exponential explosion of the
set of patterns. A typical solution is generating only a part of all patterns satisfying some …

CLA 2020, Proceedings of the Fifteenth International Conference on Concept Lattices and
Their Applications Page 1 A Link between Pattern Structures and Random Forests Tilo …

This paper proposes an approach and an associated system based on pattern structures,
aimed at the classification of documents represented as graphs. The representation of …

An approximate discovery of closed itemsets is usually based on either setting a frequency
threshold or computing a sequence of projections. Both approaches, being incremental, do …