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 …

Formal concepts and closed itemsets proved to be of big importance for knowledge
discovery, both as a tool for concise representation of association rules and a tool for …

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

The paper presents a preliminary study on basic level of concepts in the framework of formal
concept analysis (FCA). The basic level of concepts is an important phenomenon studied in …

Nowadays data-sets are available in very complex and heterogeneous ways. Mining of such
data collections is essential to support many real-world applications ranging from healthcare …

Identifying key structures from social networks that aims to discover hidden patterns and
extract valuable information is an essential task in the network analysis realm. These …

Abstract Formal Concept Analysis, as a mathematical tool, has been applied successively in
diverse fields such as data mining, conceptual modeling, social networks, software …

The problem of detecting terms that can be interesting to the advertiser is considered. If a
company has already bought some advertising terms which describe certain services, it is …

Abstract Concept stability was used in numerous applications for selecting concepts as
biclusters of similar objects. However, scalability remains a challenge for computing stability …

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 …