Abstract The theory of Formal Concept Analysis (FCA) finds diverse applications in fields like
knowledge extraction, cognitive concept learning and data mining. The construction of a …

The fixpoints of Galois connections induced by binary relational data are called formal
concepts in formal concept analysis (FCA). Computing formal concepts is one of the most …

Algorithms for the extraction of formal concepts are widely studied in several areas of
knowledge, such as finance, health, and statistics. However, these algorithms require high …

Предлагается метод интеллектуального анализа тональности текстов TextJSM,
основанный на ДСМ-методе автоматического порождения гипотез. Представлены два …

The scalability issue has always been a bottleneck for formal concept analysis (FCA) since
the number of formal concepts is possibly exponential in the formal context. Motivated by the …

The TextJSM method of text sentiment analysis is proposed, based on JSM method of
automated hypothesis generation. Two versions of the TextJSM method are presented, that …

Formal Concept Analysis (FCA) usage for information extraction has been increasingly
recurrent, using algorithms already developed for this purpose. However, the computational …

Formal fuzzy concept analysis is an effective data analysis and mining technique in the real
world. However, deriving formal fuzzy concepts is an NP problem that demands substantial …