[DL] CFP Special Issue Discrete Applied Mathematics/CLA 2016

Marianne Huchard marianne.huchard at lirmm.fr
Sat Apr 29 17:27:59 CEST 2017



Discrete Applied Mathematics
Special Issue: Concept Lattices and Their Applications


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.

The International Conference on Concept Lattices and Their Applications 
(CLA) is one of the most important events of the FCA community 
(http://cla.inf.upol.cz/). 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.

We hereby cordially invite authors of CLA 2016 publications as well as 
other FCA researchers to contribute to this special issue of /Discrete 
Applied Mathematics/.

Submissions should relate to the themes of the conference, including but 
not restricted to:
- foundations
- concept lattices and related structures
- attribute implications and data dependencies
- algorithms
- visualization
- data preprocessing
- redundancy and dimensionality reduction
- information retrieval
- classification
- clustering
- association rules and other data dependencies
- ontologies
- applications

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 /Discrete Applied Mathematics/.

The full papers must be submitted through the Elsevier Editorial System 
(*http://ees.elsevier.com/dam*). When submitting your paper, be sure to 
specify that the paper is a contribution for the Special Issue of *CLA 
2016*, so that your paper is assigned to the guest
editors. Please see the Author Instructions on the site if you have not 
yet submitted a paper through this web-based system.

Be sure to select the article type *S.I.: CLA 2016.*

The deadline for submission is *September 15, 2017*.

Accepted papers will be published online individually, before print 

We are looking forward to receiving your contribution,

The Guest Editors,
Marianne Huchard, marianne.huchard at lirmm.fr
Sergei Kuznetsov, skuznetsov at yandex.ru


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