Formal concept analysis (FCA) visualizes formal concepts in terms of a concept lattice.
Usually, it is an NP‐problem and consumes plenty of time and storage space to update the …

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 …

Formal Concept Analysis (FCA) is a method for data analysis, knowledge representation
and information management that is widely unknown among information scientists in the …

During the design of concept lattices, complexity plays a major role in computing all the
concepts from the huge incidence matrix. Hence for reducing the size of the lattice, methods …

The recent advances in Formal Concept Analysis (FCA) together with the major changes
faced by modern Information Retrieval (IR) provide new unprecedented challenges and …

The fuzzy lattice reasoning (FLR) classifier is presented for inducing descriptive, decision-
making knowledge (rules) in a mathematical lattice data domain including space RN …

Most businesses focus on the profits. For example, supermarkets often analyze sale
activities to investigate which products bring the most revenue, as well as find out customer …

Formal Concept Analysis (FCA) is a mathematical technique that has been extensively
applied to Boolean data in knowledge discovery, information retrieval, web mining, etc …

(57) ABSTRACT A system and method for communication and collaboration are disclosed. A
generalized annotation based mechanism using an emergent self organization …

Abstract Concept lattices and closed set lattices are graphs with the lattice property. They
have been increasingly used this last decade in various domains of computer science, such …