The uncertainty in the environment typically generates noisy concept alternatives and leads
to an overpopulated concept lattice. From a computational point of view, a straightforward …

Data sources describing software security vulnerabilities are commonly used by software
engineers not only increase the security of software systems but also enhance software …

Nowadays, more and more data of different kinds is becoming available. Various datasets
contain valuable information that could help to solve many practical problems or to lead to a …

In the previous works, a probabilistic generalization of the formal concepts analysis was
developed. This generalization is induced by the problem of formal concepts determining …

Discovering and visualizing data clusters is an important AI/ML and visual knowledge
discovery task. This paper proposes a new data clustering approach inspired by the concept …

In the previous work data clusters where discovered and visualized by causal models, used
in cognitive science. Centers of clusters are presented by prototypes of clusters, formed by …

• There are basically three ways of evaluating a biclustering solution: 1. External evaluation:
can be performed when a reference solution is known (eg, in experiments with synthetic …

In this part of the manuscript we discuss how standard Formal Concept Analysis
(FCA)(Ganter and Wille 1999) can be applied for analysis of complex data. In the case of …