This is the first part of a large survey paper in which we analyze recent literature on Formal
Concept Analysis (FCA) and some closely related disciplines using FCA. We collected 1072 …

Recently concept lattices became widely used tools for intelligent data analysis. In this
paper, several algorithms that generate the set of all formal concepts and diagram graphs of …

Pattern structures consist of objects with descriptions (called patterns) that allow a
semilattice operation on them. Pattern structures arise naturally from ordered data, eg, from …

In this paper we define and analyze stability of a formal concept. A stability index is based on
the idea of a dependency in a dataset that can be reconstructed from different parts of the …

A model of learning from positive and negative examples is naturally described in terms of
Formal Concept Analysis (FCA). In these terms, result of learning consists of two sets of …

In this paper, we analyze the literature on Formal Concept Analysis (FCA) using FCA. We
collected 702 papers published between 2003-2009 mentioning Formal Concept Analysis in …

Formal concept analysis (FCA) has demonstrated its effectiveness in classification through
various studies. A few types of FCA-based classifiers, such as rule-based, concept-cognitive …

This paper is a tutorial on Formal Concept Analysis (FCA) and its applications. FCA is an
applied branch of Lattice Theory, a mathematical discipline which enables formalisation of …

Conflict analysis is the process of examining a conflict situation with the purpose of
understanding its causes and dynamics, and identifying effective strategies for resolution or …

Association rules are a popular knowledge discovery technique for warehouse basket
analysis. They indicate which items of the warehouse are frequently bought together. The …