Recent Advances and Prospects in Formal Concept Analysis (FCA)
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 10 June 2025 | Viewed by 624
Special Issue Editors
Interests: data mining; natural language processing; machine learning; information retrieval; information theory
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Formal Concept Analysis (FCA) was created in 1982 with the aim of re-activating, re-structuring, and finding applications for lattice theory. These past 40 years have accrued a wealth of results that highlight its fundamental role in making lattice theory ready to tackle mathematical, data, and social science applications. FCA has resulted in a mathematical framework to tackle data analysis and classification, as well as pattern mining in knowledge discovery, with a special emphasis on visualization and interaction with data and patterns, aside from the purely mathematical contributions to restructuring lattice theory.
This Special Issue aims to highlight contributions and recent advances to FCA in general, including, but not limited to, its foundations, applications, and methodologies. Prospective and historical papers from well-established researchers in the field are also welcome, provided they offer new insights into FCA overall. Review papers are not encouraged for this Special Issue.
We are pleased to invite you to submit original, unpublished, and highly-relevant contributions to be published in this Special Issue that reflect new results, ideas, and directions in the further development of FCA in any of its kinds. Innovative cases of data analysis and application are also welcome if they provide and highlight methodological, foundational, or otherwise highly relevant issues to FCA.
Research areas may include (but need not be limited to) the following:
- FCA foundations;
- FCA variants, including FCA in a fuzzy setting, FCA over idempotent semifields, Logical Concept Analysis, Relational Concept Analysis, Pattern Structures, etc.;
- FCA in data modelling and analysis;
- FCA in computational intelligence, including machine learning and artificial intelligence.
We look forward to receiving your contributions.
Dr. Francisco J. Valverde-Albacete
Guest Editor
Dr. Manuel Ojeda-Hernández
Guest Editor Assistant
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- formal concept analysis
- FCA-enabled data analysis using FCA
- FCA-enabled machine learning and artificial intelligence
- FCA-enabled data modelling
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