The 2nd International Workshop "Formal Concept Analysis for Knowledge Discovery" (original) (raw)

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The 2nd International Workshop

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.

10:00 – 11:30

Mario Boley

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

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

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

16:30 – 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.