posted by system || 2746 views || tracked by 12 users: [display]

CoCoMile 2012 : ECAI 2012 workshop on COmbining COnstraint solving with MIning and LEarning

FacebookTwitterLinkedInGoogle

Link: http://cocomile.disi.unitn.it/2012
 
When Aug 27, 2012 - Aug 31, 2012
Where Montpellier, France
Submission Deadline May 28, 2012
Categories    artificial intelligence   data mining   machine learning
 

Call For Papers

ECAI 2012 workshop on
COmbining COnstraint solving with MIning and LEarning (CoCoMile)
http://cocomile.disi.unitn.it/2012/

Organizers: Remi Coletta (Lirmm, University of Montpellier, FR), Tias Guns (K.U. Leuven, BE), Barry O'Sullivan (University College Cork, IR), Andrea Passerini (University of Trento, IT), Guido Tack (Monash University, AU).

=====================
Overview:
=====================

The field of constraint solving has traditionally evolved quite independently from those of machine learning and data mining. In recent years, interest has been growing on the connections between these fields, and the potential advantages of their integration. Integration can work in two ways, on the one hand, various types of constraint solvers can be included in machine learning and data mining algorithms, for example to provide a uniform and effective way to characterize the desired solutions; on the other hand, machine learning can help in addressing constraint satisfaction problems, both at the level of search, by improving search or integrating intelligent meta-heuristics, as well as at the level of modelling, for example by learning constraints or interactively supporting a decision maker.

While promising initial results have been achieved in such directions, many options are unexplored and further research is needed in order to establish a systematic approach to this integration. The best way to reach the full potential of such integrations is in a multi-disciplinary way.

The main purpose of this workshop is to provide an open environment where researchers in machine learning, data mining and constraint solving can exchange ideas and discuss on promising approaches, crucial issues, open problems and interesting formalizations of new
tasks.
To encourage this, we will allow three different types of submissions: 1) original contributions (unpublished work), 2) relevant contributions recently submitted or published elsewhere (only oral) and 3) vision statements, works in progress and short overviews.

The following is a non-exclusive 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
* automated constraint modeling and solving
* constraint acquisition
* interactive constraint solving
* solver portfolio optimisation
* machine learning in search
* integrating learning and search
* automated parameter optimization / algorithm configuration

In addition to the received contributions, the workshop will include invited talks from prominent researchers working in the intersection between constraint technology, machine learning and data mining. The workshop is planned to end with a broad discussion on the most relevant open problems and research directions.


=====================
Invited speakers:
=====================

* Siegfried Nijssen (K.U. Leuven, Belgium): Constraint programming and data mining
* Holger Hoos/Lin Xu (University of British Columbia, Canada): SATzilla: Portfolio-based Algorithm Selection for SAT
* Francesca Rossi (University of Padova, Italy): Constrainted processing for preference elicitation


=====================
Submission:
=====================

We accept the following three types of submissions (using ECAI-12 formatting style http://people.cs.kuleuven.be/~luc.deraedt/ecai2012-style.zip):

* Original novel and unpublished work (max. 6 pages);

* An extended abstract of work-in-progress or position statements about future directions, possibilities and limitations: (max. 2 pages)

* Manuscripts that have recently been accepted for publication or appeared within the last 6 months in a peer-reviewed journal or which are currently under review: (only oral, no page limit or format constraints)

Authors should take care that the submitted works are written at the level of the general AI audience, and not geared towards data mining or constraint solving expert specifically.

Submissions will be peer-reviewed by the program committee. All accepted submissions will be published on our website (informal proceedings) unless requested otherwise.


=====================
Important Dates:
=====================
* 28 May, 2012: submission deadline
* 28 June, 2012: notification
* 15 July, 2012: camera-ready
* 27-31 August, 2012: ECAI


=====================
Contacts:
=====================
* Remi Coletta
* Tias Guns
* Barry O'Sullivan
* Andrea Passerini
* Guido Tack

Related Resources

ICDM 2020   20th IEEE International Conference on Data Mining
ECAI 2020   24th European Conference on Artificial Intelligence
IEEE-CVIV 2020   2020 2nd International Conference on Advances in Computer Vision, Image and Virtualization (CVIV 2020)
AAAI-MAKE 2020   AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice
EMNLP 2020   Conference on Empirical Methods in Natural Language Processing
UNIF 2020   The 34th International Workshop on Unification
ACM--ICMLC--Ei and Scopus 2020   ACM--2020 12th International Conference on Machine Learning and Computing (ICMLC 2020)--SCOPUS, Ei Compendex
PPSN 2020   Parallel Problem Solving from Nature
ICANN 2020   29th International Conference on Artificial Neural Networks
CP 2020   Twenty-Sixth Conference on Principles and Practice of Constraint Programming