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 …

We introduce the notion of iceberg concept lattices and show their use in knowledge
discovery in databases. Iceberg lattices are a conceptual clustering method, which is well …

Describes a general technique for identifying modules in legacy code. The method is based
on concept analysis-a branch of lattice theory that can be used to identify similarities among …

Abstract Formal Concept Analysis (FCA) has typically been applied in the field of software
engineering to support software maintenance and object-oriented class identification tasks …

The design of a class hierarchy may be imperfect. For example, a class C may contain a
member m not accessed in any C-instance, an indication that m could be eliminated, or …

Social bookmarking tools are rapidly emerging on the Web. In such systems users are
setting up lightweight conceptual structures called folksonomies. Unlike ontologies, shared …

Galois lattices and formal concept analysis of binary relations have proved useful in the
resolution of many problems of theoretical or practical interest. Recent studies of practical …

Formal concept analysis (FCA) was originally proposed by Wille (1982), which is an
important theory for data analysis and knowledge discovery. AFS (axiomatic fuzzy set) …

During the evolution of object-oriented (OO) systems, the preservation of a correct design
should be a permanent quest. However, for systems involving a large number of classes and …

Relational datasets, ie, datasets in which individuals are described both by their own
features and by their relations to other individuals, arise from various sources such as …