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<p>SECOND CALL FOR PAPERS</p>
<p>Discrete Applied Mathematics<br>
Special Issue: Concept Lattices and Their Applications<br>
</p>
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<p><br>
Formal Concept Analysis (FCA) is a general-scope method for data
analysis and classification with mathematical roots in order and
lattice theory. Its originality lies in the extraction of concepts
in data, which have a dual definition with a set of
properties/predicates and a set of objects that satisfy the
properties. These concepts are organized in conceptual structures
that may range from partial orders to lattices of special types
and that comprise data dependencies. Due to the richness of its
structures, FCA contributes to several domains including
artificial intelligence, data mining, information retrieval,
knowledge management, data and knowledge engineering, logic,
algebra, and lattice theory. The research in the domain is very
active and many applications are proposed in such various fields
as natural language processing, life and social sciences, image
processing, and software engineering, where large datasets are
present.</p>
<p>The International Conference on Concept Lattices and Their
Applications (CLA) is one of the most important events of the FCA
community (<a class="moz-txt-link-freetext"
href="http://cla.inf.upol.cz/">http://cla.inf.upol.cz/</a>). It
aims to provide a forum for researchers involved in all aspects of
the study of FCA, from theory and methodology to tools and
practical applications. In 2016, the event was organized and
hosted by the National Research University Higher School of
Economics, Moscow, Russia.</p>
<p>We hereby cordially invite authors of CLA 2016 publications as
well as other FCA researchers to contribute to this special issue
of <i>Discrete Applied Mathematics</i>. <br>
</p>
<p>Submissions should relate to the themes of the conference,
including but not restricted to:<br>
- foundations<br>
- concept lattices and related structures<br>
- attribute implications and data dependencies<br>
- algorithms<br>
- visualization<br>
- data preprocessing<br>
- redundancy and dimensionality reduction<br>
- information retrieval<br>
- classification<br>
- clustering<br>
- association rules and other data dependencies<br>
- ontologies<br>
- applications</p>
<p>This is an open call; submissions of contributions not presented
at CLA 2016 are also welcome. Contributions arising from papers
given at the conference should be substantially extended, and
should cite the conference paper where appropriate. All articles
will be thoroughly refereed according to the high standards of <i>Discrete
Applied Mathematics</i>.</p>
<p>The full papers must be submitted through the Elsevier Editorial
System (<b><a class="moz-txt-link-freetext"
href="http://ees.elsevier.com/dam">http://ees.elsevier.com/dam</a></b>).
When submitting your paper, be sure to specify that the paper is a
contribution for the Special Issue of <b>CLA 2016</b>, so that
your paper is assigned to the guest<br>
editors. Please see the Author Instructions on the site if you
have not yet submitted a paper through this web-based system. <br>
</p>
<p>Be sure to select the article type <b>S.I.: CLA 2016.</b></p>
<p>The deadline for submission is <b>September 15, 2017</b>.</p>
<p>Accepted papers will be published online individually, before
print publication.</p>
<p>We are looking forward to receiving your contribution,</p>
<p>The Guest Editors,<br>
Marianne Huchard, <a class="moz-txt-link-abbreviated"
href="mailto:marianne.huchard@lirmm.fr">marianne.huchard@lirmm.fr</a><br>
Sergei Kuznetsov, <a class="moz-txt-link-abbreviated"
href="mailto:skuznetsov@yandex.ru">skuznetsov@yandex.ru</a></p>
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