CoCoMile 2012

First workshop on COmbining COnstraint solving with MIning and LEarning

Artificial Intelligence Journal Special Issue

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 "SI: Constraints, Mining and Learning" 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)
    (email your abstract to aij.ccsml.si@gmail.com)
  • Full paper submissions by Jan 31 2014 Apr 20 2014 (EXTENDED)
  • First reviews by Jun 20 2014 Aug 20 2014 (EXTENDED)

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) Guido Tack (Monash University, Australia)