The article of record as published may be found at http://dx.doi.org/10.14311/NNW.2019.29.011Formal Analysis of Concepts (FCA) is a method of data analysis that helps to study the relationship between a set of objects and a set of attributes (the formal context). FCA not only allows detecting data groups (concepts) and their graphical visualization, but also extracting rules that could reveal the underlying structure of the analyzed context. The main idea of this paper is to present the fundamentals of FCA and how it can be used in reliability engineering problems. To this aim, examples in reliability engineering, from both the literature and authors’ experience, have been selected for analysis. Comments on the new insights provided by FCA ...
In this paper, we analyze the literature on Formal Concept Analysis (FCA) using FCA. We collected 70...
Formal Concept Analysis (FCA) is an effective tool for data analysis and knowledge discovery. Concep...
Formal Concept Analysis (FCA) appears to be ideal for interpreting data in domains that are a-priori...
A key difficulty in the maintenance and evolution of complex software systems is to recognize and un...
www.iam.unibe.ch/∼scg A key difficulty in the maintenance and evolution of complex software systems ...
Formal concept analysis (FCA) is a theory of data analysis that identifies conceptual structures amo...
Formal Concept Analysis (FCA) has been successfully ap- plied to data in a number of problem domain...
International audienceIn this chapter, we introduce Formal Concept Analysis (FCA) and some of its ex...
: Formal Concept Analysis (FCA) is a mathematical theory which tries to structure and formalise conc...
Designing, understanding and maintaining the source code is a crucial task in reengineering for soft...
International audienceRecent work in fault localization crosschecks traces of correct and failing ex...
Abstract. There is a big gap between variety of applications of Formal Concept Analysis (FCA) method...
International audienceFormal Concept Analysis (FCA) is a data analysis framework which extracts a la...
International audienceThis book constitutes the proceedings of the 16th International Conference on ...
National audienceFormal concept analysis (FCA) can be used for designing concept lattices from binar...
In this paper, we analyze the literature on Formal Concept Analysis (FCA) using FCA. We collected 70...
Formal Concept Analysis (FCA) is an effective tool for data analysis and knowledge discovery. Concep...
Formal Concept Analysis (FCA) appears to be ideal for interpreting data in domains that are a-priori...
A key difficulty in the maintenance and evolution of complex software systems is to recognize and un...
www.iam.unibe.ch/∼scg A key difficulty in the maintenance and evolution of complex software systems ...
Formal concept analysis (FCA) is a theory of data analysis that identifies conceptual structures amo...
Formal Concept Analysis (FCA) has been successfully ap- plied to data in a number of problem domain...
International audienceIn this chapter, we introduce Formal Concept Analysis (FCA) and some of its ex...
: Formal Concept Analysis (FCA) is a mathematical theory which tries to structure and formalise conc...
Designing, understanding and maintaining the source code is a crucial task in reengineering for soft...
International audienceRecent work in fault localization crosschecks traces of correct and failing ex...
Abstract. There is a big gap between variety of applications of Formal Concept Analysis (FCA) method...
International audienceFormal Concept Analysis (FCA) is a data analysis framework which extracts a la...
International audienceThis book constitutes the proceedings of the 16th International Conference on ...
National audienceFormal concept analysis (FCA) can be used for designing concept lattices from binar...
In this paper, we analyze the literature on Formal Concept Analysis (FCA) using FCA. We collected 70...
Formal Concept Analysis (FCA) is an effective tool for data analysis and knowledge discovery. Concep...
Formal Concept Analysis (FCA) appears to be ideal for interpreting data in domains that are a-priori...