Proceedings of the workshop on

  Analyzing Real Data with Formal Concept Analysis
                   (RealDataFCA’2021)

                       June 29, 2021

    https://icfca2021.sciencesconf.org/page/realdatafca2021

in conjunction with the 16th International Conference on
        Formal Concept Analysis (ICFCA 2021)



                          Edited by

                        Agnès Braud *

                       Xavier Dolques *

                      Rokia Missaoui **


      * ICube, Université de Strasbourg - CNRS, France

    ** LARIM, Université du Québec en Outaouais, Canada
Workshop organizers

Agnès Braud, ICube, Université de Strasbourg - CNRS, France
Xavier Dolques, ICube, Université de Strasbourg - CNRS, France
Rokia Missaoui, LARIM, Université du Québec en Outaouais, Canada


Program Committee

Jaume Baixeries, Universitat Politècnica de Catalunya, Spain
Sadok Ben Yahia, Tallinn University of Technology, Estonia
Karell Bertet, Laboratory L3I, University of La Rochelle, France
Agnès Braud, ICube, Université de Strasbourg - CNRS, France
Peggy Cellier, IRISA/INSA Rennes, France
Pablo Cordero, Universidad de Málaga, Spain
Miguel Couceiro, LORIA (CNRS - Inria - Université de Lorraine), Nancy, France
Diana Cristea, Babes-Bolyai University, Romania
Christophe Demko, Université de La Rochelle, France
Xavier Dolques, ICube, Université de Strasbourg - CNRS, France
Peter Eklund, Deakin University, Australia
Manuel Enciso, Universidad de Málaga, Spain
Sébastien Ferré, Université de Rennes 1, CNRS, IRISA, France
Jessie Galasso, Geodes, DIRO, Université de Montréal, Canada
Marianne Huchard, LIRMM, Université de Montpellier et CNRS, France
Mohamed Hamza Ibrahim, Zagazig university, Egypt
Dmitry Ignatov, National Research University Higher School of Economics, Moscow,
Russia
Mehdi Kaytoue, Infologic R&D, France
Léonard Kwuida, Bern University of Applied Sciences, Switzerland
Florence Le Ber, ICube, Université de Strasbourg/ENGEES - CNRS, France
Engelbert Mephu Nguifo, LIMOS, Blaise Pascal University – CNRS, France
Rokia Missaoui, LARIM, Université du Québec en Outaouais, Canada
Emilio Muñoz-Velasco, Universidad de Málaga, Spain
Amedeo Napoli, LORIA (CNRS - Inria - Université de Lorraine), Nancy, France
Sergei Obiedkov, National Research University Higher School of Economics, Moscow,
Russia
Manuel Ojeda-Aciego, Universidad de Málaga, Spain
Uta Priss, Ostfalia University, Germany
Christian Sacarea, Babes-Bolyai University, Romania
Henry Soldano, LIPN, Université Paris 13, France
Francisco José Valverde-Albacete, Universidad Carlos III de Madrid, Spain




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                                CONTENTS


Preface                                                                           4


How to provide light to COVID data by means of FCA                                5
Domingo López-Rodríguez, Pablo Cordero, Manuel Enciso and Ángel Mora


Analyzing water monitoring data with RCA-based approaches                        13
Xavier Dolques, Agnès Braud, Corinne Grac and Florence Le Ber


Explicit versus Tacit Knowledge in Duquenne-Guigues Basis of
Implications: Preliminary Results                                                20
Johanna Saoud, Alain Gutierrez, Marianne Huchard, Pascal Marnotte, Pierre Silvie
and Pierre Martin

Analyzing the composition of remedies in ancient pharmacopeias with
FCA                                                                              28
Agnès Braud, Xavier Dolques, Pierre Fechter, Nicolas Lachiche, Florence Le Ber
and Véronique Pitchon


Mining the Groceries Database using Triadic Concept Analysis                     36
Pedro H. B. Ruas, Rokia Missaoui, Mark A. J. Song and Léonard Kwuida


Leveraging Formal Concept Analysis to Improve n-fold validation in
Multilabel Classification                                                        44
Francisco J. Valverde-Albacete and Carmen Peláez-Moreno




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                                     PREFACE


Research in Formal Concept Analysis (FCA) is growing both at the theoretical and
practical settings, and this theory has been successfully used and even extended in
many disciplines such as mathematics, computer science (CS), bioinformatics,
engineering, sociology, and so on. In CS, studies are concentrated on numerous topics
like data analysis, knowledge representation and discovery, software engineering,
information retrieval, social network analysis, to name a few.

The objective of the workshop is to bring together researchers who are using FCA for
real-life applications, and are interested to share their experience and exchange ideas
with FCA community members. It aims at getting an overview of the diversity of
applications of FCA on real data, and providing a forum to discuss the strengths,
limitations and challenges of using FCA, as well as the successful and unsuccessful
experiences with this theory. Feedback from application domain experts is also
welcome.

Six papers were submitted. Each one of them was reviewed by four program
committee members, and six papers were accepted and presented at the workshop. A
discussion session followed the talks.

Authors of accepted papers will be invited to submit an extended version of their
contribution in a special issue of an international journal.

The organizers of the workshop would like to thank all the authors for their
contributions and the organizers of ICFCA’2021 for their support. Their warm thanks
go also to the program committee members for their careful review of the submissions
and their useful comments and suggestions, as well as to the three session chairs.
Finally, the success of this event was possible thanks to the participation of forty-eight
attendees.



July 2021                                   Agnès Braud,

                                            Xavier Dolques,

                                            Rokia Missaoui




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