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                                 Preface

    The FCA4KD workshop (FCA4KD 2017) was an international workshop on
applications of Formal Concept Analysis in Knowledge Discovery and Data Min-
ing held in National Research University Higher School of Economics (Moscow).
All of the contributed research papers reported on research where models based
on Formal Concept Analysis were extensively used. Formal concept analysis
(FCA) is a branch of lattice theory motivated by the need for a clear formaliza-
tion of the notions of concept, conceptual hierarchy, and implicative dependence.
It has been successfully used for developing models of clustering, machine learn-
ing and association-rule mining. We believe that formal concept analysis and its
extensions can contribute to knowledge discovery in medicine, social networks,
text mining, and economical studies, among other fields. The objective of the
FCA4KD workshop was to bring together researchers and practitioners to dis-
cuss the ways FCA can be used in various applications related to these domains.
The proceedings of FCA4KD workshop include ten papers that were reviewed
by at least two reviewers. We would like to thank all the authors for their
contributions and the reviewers for their careful reviews of the submissions and
their useful comments and suggestions. Finally, we would like to acknowledge
the support of Basic Research Program and the Russian Academic Excellence
Project ’5-100’ within the International Laboratory for Intelligent Systems and
Structural Analysis of National Research University Higher School of Economics
and National Research Foundation of South Africa (grant no. 92187) for finan-
cial support of research collaboration and organization of the workshop.


September 2017                                              Sergei O. Kuznetsov
                                                                  Bruce Watson




                                        i
Program Committee

Aleksey Buzmakov      Orpailleur team, INRIA-LORIA (CNRS-Université de
                      Lorraine), Nancy, France
Dmitry Ignatov        National Research University Higher School of Eco-
                      nomics, Moscow, Russia
Dmitry Ilvovsky       National Research University Higher School of Eco-
                      nomics, Moscow, Russia
Sergei O. Kuznetsov   National Research University Higher School of Eco-
                      nomics, Moscow, Russia
Tatiana Makhalova     National Research University Higher School of Eco-
                      nomics, Moscow, Russia
Alexey Neznanov       National Research University Higher School of Eco-
                      nomics, Moscow, Russia
Sergei Obiedkov       National Research University Higher School of Eco-
                      nomics, Moscow, Russia
Andrey Parinov        National Research University Higher School of Eco-
                      nomics, Moscow, Russia
Artem Revenko         Semantic Web Company GmbH, Vienna, Austria
Bruce Watson          Stellenbosch University, Stellenbosch, South Africa
Ekaterina Chernyak    National Research University Higher School of Eco-
                      nomics, Moscow, Russia




                                 ii
Table of Contents
Knowledge Discovery from Texts with Conceptual Graphs and FCA. . . . . . .                                                         1
 Mikhail Bogatyrev and Kirill Samodurov
Pattern Structures for Risk Group Identification . . . . . . . . . . . . . . . . . . . . . . . . . . 13
  Natalia Korepanova and Sergei O. Kuznetsov
Analysis of Strong and Weak Ties in Oil&Gas Professional Community . . . 22
 Fedor Krasnov, Sofia Dokuka, Ilya Gorshkov and Rostislav Yavorskiy
Necessary and Sufficient Conditions for Bank Participation in
Multi-stakeholder Agreements: A Formal Concept Analysis . . . . . . . . . . . . . . . 34
  Christiaan Maasdorp
An Incremental Algorithm for Computing N-concepts . . . . . . . . . . . . . . . . . . . . . 43
 Tatiana Makhalova and Nourine Lhouari
The Ontology Analysis Based on Relations on Arcs of the Formal Context 53
  Bato Merdygeev and Sesegma Dambaeva
A Neural-Network Like Logical-Combinatorial Structure of Data and
Constructing Concept Lattices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62
  Xenia Naidenova, Vladimir Parkhomenko and Sergey Curbatov
Application of Boolean-valued models and FCA for the development of
ontological models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77
  Dmitry Palchunov and Gulnara Yakhyaeva
Notes on Relation Between Symbolic Classifiers . . . . . . . . . . . . . . . . . . . . . . . . . . . 88
  Vladimir Parkhomenko, Xenia Naidenova, Alexey Buzmakov and
  Alexander Schukin
Accidental Formal Concepts in the Presence of Counterexamples . . . . . . . . . . 104
  Dmitry Vinogradov




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