BigFCA 2019

Formal Concept Analysis in the Big Data Era

International Conference on Formal Concept Analysis June 25 - 28 Frankfurt, Germany
© Kevin Rupp | Frankfurt UAS

ICFCA 2019 is happy to announce a workshop on Formal Concept Analysis at the Big Data Era.

Overview

With the advent of Big Data and the increasing number of studies towards their management and analysis, it becomes important to get a better insight into existing studies, trends and challenges and rely on promising theories such as Formal Concept Analysis together with recently developed technologies to design new, accurate and scalable solutions for big data analytics.

Big Data (BD) are very large and possibly heterogeneous and unstructured data collections defined by at least 7 V’s: Volume (e.g., zettabytes), Velocity (i.e., evolving and stream data), Variety, (e.g., text, image, video), Variability (i.e., changes in the data flow rates), Veracity (accuracy), Visualization, and Value (i.e., extracted information and knowledge).

Formal Concept Analysis (FCA) is an important formalism that is associated with a variety of research areas such as lattice theory, knowledge representation, data mining, machine learning, and semantic Web, to name a few. It is successfully exploited in an increasing number of application domains such as software engineering, information retrieval, social network analysis, and bioinformatics. The mathematical power of FCA comes from its concept lattice formalization in which each element in the lattice captures a formal concept while the whole structure represents a conceptual hierarchy that offers browsing, clustering and rule mining.

Although there are significant theoretical and practical contributions within the FCA community in a variety of topics, including the design and implementation of efficient algorithms and tools for concept lattice computation and exploitation, the goal of this workshop is to pinpoint and examine a set of important and relevant research directions in Big Data management, and see where the FCA community can very likely make significant contributions. As an example, we expect to have fruitful discussions about how Formal Concept Analysis and some of its extensions can be exploited, revisited and coupled with recent processing paradigms (e.g., MapReduce and Hadoop) to maximize the benefits of Big Data through their analysis.

Topics of Interest

The scope of BigFCA’2019 includes, but is not limited to the following topics:

  • Applications of - and experiences with - FCA for big data analytics
  • Challenges of the V’s of big data
  • Stream data management
  • Data decomposition and reduction
  • Distributed and parallel algorithms
  • MapReduce, Hadoop and Spark technologies
  • Efficient data structures

Submission and Publication

All submissions of up to twelve pages must be done using the EasyChair system of the workshop (see https://easychair.org/conferences/?conf=bigfca2019) and follow the author guidelines for ICFCA’2019, i.e., the formatting instructions for the Springer LNCS style (https://www.springer.com/fr/computer-science/lncs/conference-proceedings-guidelines).

All the accepted papers will be printed in the CEUR Workshop Proceedings. Papers will be evaluated by three reviewers according to their significance, originality, technical content, style, clarity, and relevance to the workshop. At least one author of each accepted paper is expected to attend the workshop.

The authors of the best accepted papers will be asked to produce an extended release to be submitted for consideration to either a journal special issue or a Springer book.

Workshop Organizers

  • Léonard Kwuida, Bern University of Applied Sciences, Switzerland
  • Rokia Missaoui, Université du Québec en Outaouais, Canada
Program Committee - Preliminary List
  • Talel Abdessalem, Télécom ParisTech, France
  • Ladjel Bellatreche, Université de Poitiers, France
  • Sadok Ben Yahia, Tallinn University of Technology, Estonia
  • Karell Bertet, Université de La Rochelle, France
  • Pablo Cordero, University of Malaga, Spain
  • Jérôme Darmont, Université Lyon 2, France
  • Christophe Demko, Université de La Rochelle, France
  • Peter Eklund, Deakin University, Geelong, Australia
  • Manuel Enciso, University of Malaga, Spain
  • Sébastien Ferré, Université de Rennes 1, France
  • Tom Hanika, University of Kassel, Germany
  • Mohamed-Hamza Ibrahim, Zagazig University, Egypt
  • Dmitry Ignatov, National Research University Higher School of Economics, Russia
  • Mehdi Kaytoue, INSA Lyon, France
  • Léonard Kwuida, Bern University of Applied Sciences, Switzerland
  • Rokia Missaoui, Université du Québec en Outaouais (UQO), Canada
  • Angel Mora Bonilla, University of Malaga, Spain
  • Amedeo Napoli, Université de Lorraine, France
  • Sergei Obiedkov, National Research University Higher School of Economics, Russia
  • Manuel Ojeda-Aciego, University of Malaga, Spain
  • Christian Sacarea, Babes-Bolyai University, Cluj-Napoca, Romania
  • Idrissa Sarr, Université Cheikh Anta Diop, Sénégal
  • Peggy Cellier, INSA Rennes, France
  • Uta Priss, Ostfalia University of Applied Sciences, Wolfenbüttel, Germany
  • Sergei O. Kuznetsov Higher School of Economics, Moscow, Russia
  • Radim Belohlavek, Palacky University, Olomouc, Czech Republic
  • Simon Andrews, Sheffield Hallam University, Sheffield, UK
  • Baris Sertkaya, Frankfurt University of Applied Sciences, Germany

Important Dates

  • Abstract submission:March 27 April 15, 2019
  • Paper submission:March 27 April 15, 2019
  • Notification of acceptance: May 2 May 19, 2019
  • Camera ready copies due:May 20 May 27, 2019

Programme

(pdf)

Registration

Coming soon ...