Workshop participation
Spain UseRs Annual Meeting
27/11/19/08:41
XI Jornadas de Usuarios de R de España
Last November, 14-16, we presented a communication on the development of a package aimed at the application of Formal Concept Analysis, implemented in the R programming language. The title of the communication was fcaR: An R Package for using Simplification Logic with FCA and was presented by Domingo López-Rodríguez and Ángel Mora, within a session focused on the application of data analysis tools to healthcare and biology.
The package was designed to manage formal contexts and extract implications from a given dataset, and to provide tools to visualize the extracted knowledge. Furthermore, the package provides an efficient implementation of the Simplification Logic for crisp and fuzzy contexts, which allows to remove redundancies within implications very easily. Thanks to these functionalities, the package can be used to compute attribute set closures and can be used as the formal core to recommender systems.
As an application, the package was used to build a recommender system in hardly 3 lines of code, to help in the differential diagnosis of schizophrenia with respect to other schizoaffective disorders.
In addition, this package has been designed to integrate with arules, the reference package of association rules in the R programming language, making it very usable by the R community researching and investigating on association rule mining and knowledge discovery.
HARMONIC'19
12/11/19/13:00
Herramientas Difusas Para el Razonamiento No Canónico, HARMONIC'19
We have had a nice extended week-end in Grazalema where the workshop HARMONIC'19 has been held. We had a number of interesting discussions on preliminary ideas for future work and prospects for new collaborations.
We participated with two contributions: the first one was done by Domingo López, who presented the recent R package developed for dealing with fuzzy implications "fcaR, an R package to handle fuzzy implications: design of a recommendation system for medical diagnosis"; the second contribution was a joint paper together with our colleagues Fran Valverde and Carmen Peláez from Univ. Carlos III Madrid entitled "On FXA for data analysis".