The lattice theory under the framework of formal concept analysis has brought mathematical
thinking to knowledge representation and discovery. In this respect, this mathematical …

Abstract Relational Concept Analysis (RCA) has been designed to classify sets of objects
described by attributes and relations between these objects. This is achieved by iterating on …

The theory of concept lattices represents a well established and widely used conceptual
data-mining method. Considering additional information represented by a graph structure on …

Formal concept analysis (FCA) is a mathematical theory that is typically used as a
knowledge representation method. The approach starts with an input binary relation …

Abstract In Formal Concept Analysis, stability is an important utility measure to rank
concepts. However, computation of stability is considered to be a hard problem. Efficient …

One key challenge in Social Network Analysis is to design an efficient and accurate
community detection procedure as a means to discover intrinsic structures and extract …

Formal concept analysis (FCA) is a mathematical tool for analyzing data and formally
representing conceptual knowledge. Under this formalism, the concept stability metric can …

Abstract Bodies of Knowledge (BoK) are available only in mature technical fields, in which
professional practices and technical rules have been well established (ie:'settled'), and are …

Finding actionable patterns from massive data is a crucial task in data mining applications.
In Formal Concept Analysis (FCA), concept stability is one of the commonly used measures …

The concept stability measure under the Formal Concept Analysis (FCA) theory is useful for
improving the accuracy of structure identification of social networks. Nevertheless, the …