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Regular version of the site
The 2nd International Workshop

Formal Concept Analysis for Knowledge Discovery


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

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.

Preliminary program
June 19, 3 Kochnovsky Proezd, room 205
10:00 – 11:30
Mario Boley

Change of perspective: using FCA enumeration techniques to tackle hard KDD optimization problems

11:30 – 11:50
Coffee break
11:50 - 13:20
Session 1

Alexey Buzmakov, Sergei Kuznetsov,

 Projection-chain antimonotonicity, an extension of state-of-the-art antimonotonicity class


Dmitry Palchunov,

On axiomatization of classes of domain cases based on FCA


Dmitry Vinogradov,

FCA-based Approach to Machine Learning

13:20 - 14:00
14:00 – 16:00
Session 2

Alexei Galatenko, Stepan Nersisyan, Vera Pankratieva

Clustering of biomedical data using the greedy clustering algorithm based on interval pattern concepts


Xenia Naidenova Vladimir Parkhomenko         

An approach to modelling of self-supervised symbolic machine learning process


Aleksey Buzmakov, Evgeniya Shenkman       

How did Hot and Cold Regions spend Electricity? An evidence from FCA


Dmitry Egurnov,  Dmitry Ignatov          

Application of Triclustering in Natural Language Processing

16:00 – 16:30
Coffee break
16:30 – 19:00
Session 3

Simon Vilmin          

Horn Minimization


Danil Gizdatullin, Dmitry Ignatov, Ekaterina Mitrofanova and Anna Muratova 

Classification of Demographic Sequences Based on Pattern Structures and Emerging Patterns Experimental Results Revisited


Bato Merdygeev, Sesegma Dambaeva

The converting of domain ontology into formal context


Natalia Korepanova

Multiple Comparisons Problem for Ordered Hypotheses Testing. 

19:00 – 19:15