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Regular version of the site
The 4th International Workshop

Formal Concept Analysis for Knowledge Discovery

Dear colleagues! Due to the concerns surrounding the epidemiological situation, the workshop will be held online via zoom platform.

Formal concepts proved to be of big importance for knowledge discovery, both as a tool for concise representation of association rules and a tool for clustering and constructing taxonomies. The FCA4KD workshop aims at bringing together researchers working on diverse aspects of FCA-based knowledge extraction with the applications to fields like Computer and Information Science, Linguistics, Life and Social Sciences, Bioengineering, Chemistry, etc.

Topics of Interest

Main topics of interest include, but are not limited to:

  • foundations
  • concept lattices and related structures
  • attribute implications and data dependencies
  • data preprocessing
  • redundancy and dimensionality reduction
  • information retrieval
  • classification
  • clustering
  • association rules and other data dependencies
  • ontologies

Paper Submission and Publication

May 30 — annotation/paper for FCA4KD submission.

June 21 — paper submission for publishing in CEUR proceedings of FCA4AI indexed in Scopus. 

Papers may be submitted in PDF or Postscript format. Papers need to be formatted using the Springer Lecture Notes in Computer Science style.

The submission is to be done via EasyChair.

Program of the conference

9:20 – 9:30

Sergei O. Kuznetsov

9:30 – 10:00
Methods of formal representation of situations based on FCA

Dmitry E. Palchunov

Sobolev Institute of Mathematics

Novosibirsk State University, Novosibirsk

10:00 – 10:30
The study of the relationship between publications of social networks communities via formal concept analysis

Kristina Pakhomova and Alina Belova

Siberian Federal University, Krasnoyarsk

10:30 – 11:00
Formal Concept Analysis with Mathematica™

Mikhail Yu. Bogatyrev

Tula State University

11:00 – 11:30
11:30 – 12:00
Towards Evolutionary Polyadic Clustering

Mikhail Yu. Bogatyrev

Tula State University

12:00 – 12:30
Combining Logic of Time, Knowledge, and Opinion for the Query Language and Navigation on the Ontology of the Computer Languages Universum

Nikolay V. Shilov

Innopolis University, Kazan

12:30 – 13:00
On Estimation of Errors Rates for Bitset Representation of Lower Semi-lattice

Dmitry V. Vinogradov

Federal Research Center "Computer Science and Control" RAS, Moscow

Russian State University for Humanities, Moscow

13:00 – 13:30
Object-Attribute Biclustering for Elimination of Missing Genotypes in Ischemic Stroke Genome-Wide Data

Dmitry Ignatov, Gennady Khvorykh, Stefan Nikolic, Makhmud Shaban, and Fouzi Takelait

Higher School of Economics, Moscow

13:30 – 14:30
14:30 – 15:10
Invited Talk. The logical expressiveness of graph neural networks

Egor Kostylev

Oxford University 

15:10 – 15:30
Building information retrieval system based on FCA and two-level domain knowledge model

Elizaveta F. Goncharova 

Higher School of Economics, Moscow

15:30 – 15:50
Applying of Sparse Substructures for Meta-learning of Neural Networks

Eugene Burzilov

Higher School of Economics, Moscow

15:50 – 16:10
Visualization and Machine Learning based Interpretation of Russian Demographic Sequences

Robiul Islam

Higher School of Economics, Moscow

16:10 – 16:30
Cross-Domain Co-Author Recommendation Based on Clustering of Knowledge Graph Embeddings

Md Tahsir Ahmed Munna

Higher School of Economics, Moscow

16:30 – 16:50
Survey on the methods for sequence analysis in demography

Anna Muratova

Higher School of Economics, Moscow

16:50 – 17:10
Applications of Triclustering in BigData Setting: Revised Results with Multithread Computation

Dmitrii Egurnov

Higher School of Economics, Moscow

17:10 – 17:30