This is the second 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 …

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 …

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 …

This paper addresses the important problem of efficiently mining numerical data with formal
concept analysis (FCA). Classically, the only way to apply FCA is to binarize the data, thanks …

Due to its major focus on knowledge representation and reasoning, artificial intelligence was
bound to deal with various frameworks for the handling of uncertainty: probability theory, but …

Develo** Enterprise Chatbots Page 1 Develo** Enterprise Chatbots Boris Galitsky
Learning Linguistic Structures Page 2 Develo** Enterprise Chatbots Page 3 Boris Galitsky …

In this paper we define and analyze stability of a formal concept. A stability index is based on
the idea of a dependency in a dataset that can be reconstructed from different parts of the …

This book describes a method called “attribute exploration”, its applications, its theory, and
some of the many possible generalizations. The basic task is very simple: for a given list of …

This paper is a follow up to “Belohlavek, Vychodil: What is a fuzzy concept lattice?, Proc.
CLA 2005, 34–45”, in which we provided a then up-to-date overview of various approaches …

A model of learning from positive and negative examples is naturally described in terms of
Formal Concept Analysis (FCA). In these terms, result of learning consists of two sets of …