[ please distribute - apologies for multiple postings ]
*-- ECML PKDD 2013 journal track closed; proceedings track to open soon.
--*
*
*ECML PKDD 2013
European Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Databases
Prague, Czech Republic, September 23 to 27.
Call for Papers
The European Conference on Machine Learning and Principles and Practice
of Knowledge Discovery in Databases (ECML PKDD) provides an
international forum for discussing the latest high-quality research
results in all areas related to machine learning and knowledge discovery
in databases, as well as their application in innovative application
domains.
ECML PKDD will present novel work published either in /Machine
Learning/ or /Data Mining and Knowledge Discovery/ (the "journal
track"), or in the conference proceedings. The journal track of the
conference has closed. This is a call for submissions to the
proceedings track.
Submissions are invited on all aspects of machine learning, knowledge
discovery and data mining, including real-world applications.
Submissions to the proceedings track ideally present innovative ideas
that are inspiring, provoke discussion, and/or are demonstrated to have
a large potential. They should be concise, counting at most 16 pages in
the Lecture Notes in Computer Science format.
Important criteria for all submissions are their:
* potential to inspire the research community by introducing new
and relevant problems, concepts, solution strategies, and ideas
* contribution to solving a problem widely recognized as both
challenging and important
* capability to address a novel area of impact of machine learning
and data mining
* scientific rigor, correctness, reproducibility of experiments
* presentation quality: preciseness and clarity is required
IMPORTANT DATES :
Proceedings track:
* abstract submission: Thursday, April 18, 2013
* paper submission: Monday, April 22, 2013
* notification: Friday, June 14, 2013
* camera ready copy: Friday, June 28, 2013
Conference: September 23-27, 2013
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Publicity@ECMLPKDD
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Publicity@ECMLPKDD
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