Introduction
While Formal Concept Analysis (FCA) provides a robust theoretical foundation for extracting structures and rules from relational data, its practical adoption requires accessible tools. The fcaR package for R simplifies this process, offering a complete ecosystem to create, manipulate, and visualize formal contexts and implication sets.
In this interactive tutorial, attendees will follow a hands-on approach, running live code to analyze a real-world dataset. Participants will learn step-by-step how to transform raw data into actionable knowledge by extracting concepts and implications. In addition to the core FCA workflow, this session will showcase the latest features and newly implemented algorithms in fcaR, including:
- Seamless data manipulation integrating
fcaRanddplyr. - Conceptual Scaling for complex data types.
- Computation of advanced lattice metrics.
- Working with Bonds between formal contexts.
- Matrix Factorization techniques.
- Mining Causal Association Rules.
The ultimate goal is for participants to gain practical experience, leaving the tutorial ready to apply these computationally efficient data analysis techniques to their own research or production environments.
Organizers
Ángel Mora
Ángel Mora is Associate Professor at the Department of Applied Mathematics in the University of Málaga, Spain. He is also Deputy Director of the School of Computer Engineering for Companies since 2020. He has published more than hundred papers on formal methods based on logic and algebra, with a particular focus on Formal Concept Analysis. In particular, one of the most intensive goals today is the development of a logic of simplifications for implications and rules extracted from data sets, which enable the development of automated methods for reasoning and explaining the results obtained.
He has also developed in collaboration an FCA package called fcaR (see https://fca-malaga.netlify.app/resources/ – over 50M downloads), which is widely used as a tool for solving real-world problems in FCA.
Manuel Ojeda-Hernández
Manuel Ojeda-Hernández is Assistant Professor at the Department of Algebra, Geometry and Topology in the University of Málaga, Spain. His research interest is on algebraic structures under uncertainty, with a particular focus on Formal Concept Analysis and Fuzzy Set Theory. In particular, one of the most intensive goals today is the research on bases of implications with graded attributes both theoretically and computationally in order to make FCA methods applicable in areas with inherent imprecision.
Domingo López Rodríguez