[Apologies for multiple postings]
* * * * * * * * * * * * * * * * * * * * * * * * * * * *
CALL FOR PAPERS
ECML/PKDD 2013 Workshop
"Languages for Data Mining and Machine Learning"
September 23, 2013, Prague, Czech Republic
http://dtai.cs.kuleuven.be/lml/
* * * * * * * * * * * * * * * * * * * * * * * * * * * *
SCOPE
Research in Data Mining and Machine Learning has progressed
significantly in the last decades, through the development of advanced
algorithms and techniques. In the past few years there has been a
growing attention to the development of languages for use in data mining
and machine learning. Such languages provide common buildings blocks and
abstractions, and can provide an alternative interface to advanced
algorithms and systems that can greatly increase the utility of such
systems. The workshop main motivation is the believe that designing
generic and declarative modeling languages for data mining and machine
learning, together with efficient solving techniques, is an attractive
direction that can boost scientific progress.
The workshop promotes work that goes beyond one particular subfield of
machine learning or data mining. It promotes cross-fertilisation between
computer language oriented research, across data mining and machine
learning. The workshop encourages submissions inspired from other
scientific disciplines such as logic in knowledge representation, query
languages in databases, modeling languages in constraint solving and
other formalisms such as mathematical programming.
CALL FOR PAPERS
LML workshop solicits papers on all aspects of the following
non-exclusive list of topics:
- Language constructs and abstractions for expressing
mining/learning tasks
- Query languages for data mining
- Modeling languages for data mining/machine learning
- Declarative approaches to data mining/machine learning
- Language integration of databases and data mining systems
- Frameworks for supporting higher-level ML/DM languages
- Scalable and/or distributed computation of ML/DM language
constructs
- Compilation/transformation/interpretation of high-level
languages to existing ML/DM algorithms
- Domain specific languages for classes of mining and learning
problems
- Logic as a language for data mining/machine learning
- Constraint-based languages for data mining/machine learning
- High-level (declarative) languages for data mining and machine
learning problems
- Probabilistic programming languages for data mining and machine
learning
- Domain-specific languages for ML/DM applications
- Integration of logic and/or statistics in languages,
for use in data mining/machine learning
- Generic languages and their integration with mining/learning
techniques Learning-based programming languages
Our main goal is to stimulate discussion, collaboration
and the sharing of experiences.
In that respect, we would have three submission types:
1) unpublished works (max 15 pages in LNCS format),
double submissions allowed
2) extended abstracts and vision statements (max 4 pages)
3) recently published works (special oral-only track, no page limits)
For more details on submission, see the LML webpage at
http://dtai.cs.kuleuven.be/lml/
IMPORTANT DATES
Deadline for submissions: 28th June, 2013
Author notification: 19th July, 2013
Final version: 2nd August, 2013
Workshop date: 23rd September, 2013
ORGANIZATION
- Bruno Cremilleux, Universite de Caen, FR
- Luc De Raedt, KU Leuven, BE
- Paolo Frasconi, Universita di Firenze, IT
- Tias Guns, KU Leuven, BE
--
Publicity@ECMLPKDD
_______________________________________________
uai mailing list
[email protected]
https://secure.engr.oregonstate.edu/mailman/listinfo/uai
