fcaR, Spreading FCA to the Data Science World

R package
Formal concept analysis
Authors
Pablo Cordero , Manuel Enciso , Domingo López-Rodríguez , Ángel Mora
Published
22 June 2022
Publication details
Workshop on Existing Tools and Applications for Formal Context Analysis 2022
Links
PDF

 

Abstract

Formal concept analysis (FCA) has become a mature tool for extracting helpful knowledge for real problems based on solid mathematical foundations rooted in logic and lattice theory. However, in areas such as machine learning, big data, artificial intelligence, database, etc. remains a stranger. The R language is one of the main languages used in data science, and this work describes an R package called fcaR that implements FCA’s core notions and techniques. One of the main goals is to spread FCA to the rest of the world. The main facilities of the tool are shown with a running example.

Funding

NoteProjects funding this work

FLAIR: Fuzzy, Logic and Algebraic tools for Information Resources

Formal concept analysis
Fuzzy logic
Uncertainty
Imprecise information
26 September 2019
Manuel Ojeda Aciego, Nicolás Madrid Labrador
No matching items

Citation

How to cite

P. Cordero, M. Enciso, D. López-Rodríguez, et al. “fcaR, Spreading FCA to the Data Science World”. In: Proceedings of the Sixteenth International Conference on Concept Lattices and Their Applications. CLA. 2022, pp. 201 - 207.

BibTeX 
<pre><code>
@inproceedings{fcaRCLA, title={fcaR, Spreading FCA to the Data Science World}, author={Cordero, Pablo, and Enciso, Manuel, and López-Rodríguez, Domingo, and Mora, Ángel}, booktitle={Proceedings of the Sixteenth International Conference on Concept Lattices and Their Applications}, pages={201 – 207}, year={2022}, organization={CLA} } 
<button class='copy-bib-btn' id='copy-bib-btn'><i class='bi bi-clipboard'></i> Copy BibTeX</button>