Artificial Intelligence Journal:
                         Special Issue on
Combining Constraint Solving with Mining and Learning


EXTENDED DEADLINE

Submissions by March 20th, 2014

In recent years there is a growing interest in the potential of
integrating the field of constraint solving with machine learning and
data mining.  Until now, these fields have evolved quite
independently. Nevertheless, complex mining and learning tasks can
often be formalized in terms of constraints that need to be
satisfied. This methodology is becoming increasingly compelling, as
the community is progressively moving from addressing relatively
simple tasks on tabular data to complex problems on structured
data. The use of machine learning and data mining techniques to
enhance constraint solving is equally promising, and only starting to
be explored. Consequently, there is a mutual benefit in the study of
these approaches, that can lead to advances in both fields.

This special issue aims to collect relevant contributions on all
aspects of the integration of constraint solving with machine learning
and data mining. The following is a non-exhaustive list of possible
topics:

- data mining/machine learning using constraint solving techniques

- learning with constraints

- constraint-based languages for data mining/machine learning

- preference learning for constraint solving

- learning and automated constraint modeling/reformulation

- constraint acquisition

- interactive constraint solving

- solver portfolio optimisation

- machine learning in search

- integrating learning and search

- automated parameter optimization / algorithm configuration


Submission information

Please submit your article using the Elsevier Editorial System
(http://ees.elsevier.com/artint). To ensure that all manuscripts are
correctly identified as submissions for the special issue, select
Special Issue - AI, CoCoMiLe when you reach the "Article Type" step in
the submission process. Manuscripts can be submitted until the
deadline and the reviewing process of each manuscript will start
immediately after submission. Preliminary versions of the papers will
be published continuously (as soon as accepted) on the special issue
website. Submitted manuscripts should not have been published
previously, nor be under consideration for publication elsewhere.

Key dates:

Abstract submissions by Jan 31 2014 Mar 20 2014 (EXTENDED)
Full paper submissions by Jan 31 2014 Apr 20 2014 (EXTENDED)
First reviews by Mar 31 2014 Jun 20 2014 (EXTENDED)
Revisions by May 31 2014 Sep 20 2014 (EXTENDED)
Notification by Jun 30 2014 Oct 20 2014 (EXTENDED)
Special issue by end of 2014

For additional information, please contact aij.ccsml.si@gmail.com

The SI Editors,
Andrea Passerini (University of Trento, Italy)
Tias Guns (K.U. Leuven, Belgium)
Remi Coletta (LIRMM, University of Montpellier, France)
Guido Tack (Monash University, Australia)
Barry O'Sullivan (University College Cork, Ireland)


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Andrea Passerini

Dipartimento di Ingegneria e Scienza dell'Informazione
Universita' degli Studi di Trento
Via Sommarive 5
38100, Povo di Trento - Italy
http://www.disi.unitn.it/~passerini
Phone: +39 0461 28 5224
Fax:   +39 0461 88 3935
email: passerini@disi.unitn.it
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