The EU recently proposed a single trade agreement with the United States, so there is no reason it cannot have one with the UK post-Brexit, according to the chief executive of the UK’s Financial Conduct Authority (FCA)
conexp-ng - ConExp-NG is a simple GUI-centric tool for the study & research of Formal Concept Analysis (FCA) that allows you to create formal contexts, draw concept lattices and explore dependencies between attributes.
CLA is an international conference dedicated to formal concept analysis (FCA) and areas closely related to FCA such as data mining, information retrieval, knowledge management, data and knowledge engineering, logic, algebra and lattice theory. CLA provides a forum for researchers, practitioners, and students. The program of CLA consists of invited plenary talks, regular talks, and poster sessions. Papers in all areas relevant to theory and applications of FCA are solicited.
BACKGROUND: Research confirms that physical activity (PA) is irreplaceable in a healthy and physically active lifestyle. One of the key research questions is what the optimal level of everyday PA for health is and how it should be quantified and interpreted. Formal concept analysis is one possible way of how to assess and describe the level of PA as related to personal data. OBJECTIVE: The main goal of this study was to introduce the method of Formal Concept Analysis (FCA) using data from the ANEWS questionnaire and data from the objective monitoring of a number of steps using the YAMAX SW-701 pedometer. A further aim was to adopt the most appropriate method within the FCA. METHODS: A random sample of 273 males aged 18-69 from selected regional centers participated in the study. RESULTS: The example of daily steps allows for the demonstration of how important it is to select a scale in FCA data analysis. It is better to use an ordinal scale for the daily number of steps (in our example); because, in so doing, we create the attributes that can be ordered (a lower number of steps is also insufficient). CONCLUSIONS: A rough scale produces easier lattice with the general scope of the observed attributes. The smoothing of the scale produces more difficult lattice and makes for more difficult analyses, but gives more detailed results. FCA requires more expertise from a researcher than do "classical" testing statistics, but gives us deeper insight into the examination of the problem.
In this research a combined Semantic Web, Web Services and Web 2.0 approach is adopted in order to semi-automate social media Web sites for Museum Collections. The framework described has been applied in two Web-information system applications, the Virtual Museum of the Pacific and the Art Collection Ecosystem. Our paper highlights the generality of CollectionWeb by way of these two case studies.
The ToscanaJ project is a collaboration between DSTC, the University of Queensland and the Technical University of Darmstadt to recreate a classic Formal Concept Analysis tool called Toscana and to give the FCA community a platform to work with.
CLA is an international conference dedicated to formal concept analysis (FCA) and areas closely related to FCA such as data mining, information retrieval, knowledge management, data and knowledge engineering, logic, algebra and lattice theory. CLA provides a forum for researchers, practitioners, and students. The program of CLA consists of invited plenary talks, regular talks, and poster sessions. Papers in all areas relevant to theory and applications of FCA are solicited.
B. Ganter, T. Hanika, и J. Hirth. Formal Concept Analysis - 17th International Conference, ICFCA 2023, Kassel, Germany, July 17-21, 2023, Proceedings, том 13934 из Lecture Notes in Computer Science, стр. 64--77. Springer, (2023)
B. Ganter, T. Hanika, и J. Hirth. Formal Concept Analysis - 17th International Conference, ICFCA 2023, Kassel, Germany, July 17-21, 2023, Proceedings, том 13934 из Lecture Notes in Computer Science, стр. 64--77. Springer, (2023)
M. Huchard, A. Napoli, M. Hacene, и P. Valtchev. Selected Contributions in Data Analysis and Classification, Studies in Classification, Data Analysis, and Knowledge Organization, (октября 2007)
X. Dolques, F. Ber, и M. Huchard. AOC-posets: a scalable alternative to Concept Lattices for Relational Concept Analysis. CLA: Concept Lattices and their Applications, (октября 2013)
J. Hirth, V. Horn, G. Stumme, и T. Hanika. Graph-Based Representation and Reasoning - 28th International Conference on Conceptual Structures, ICCS 2023, Berlin, Germany, September 11-13, 2023, Proceedings, 14133, стр. 138--152. (2023)