[DL] ECML-PKDD 2017 - CALL FOR PAPERS - [Nectar Track]

[ECML-PKDD 2017]

############################################################

European Conference on Machine Learning and Principles and Practice of

Knowledge Discovery in Databases (ECML-PKDD)

Skopje, Macedonia, September 18-22, 2017 (http://www.ecmlpkdd2017.org).

############################################################


The European Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Databases (ECMLPKDD) provides an international forum
for the discussion of the latest high-quality research results in all areas
related to machine learning and knowledge discovery in databases and
related application domains.



The goal of the Nectar Track, started in 2012, is to offer conference
attendees a compact overview of recent scientific advances at the frontier
of machine learning and data mining with other disciplines, as published in
related conferences and journals. For researchers from the other
disciplines, the Nectar Track offers a place to present their work to the
ECMLPKDD community and to raise the community's awareness of data analysis
results and open problems in their field. We invite senior and junior
researchers to submit summaries of their own work published in neighbouring
fields, such as (but not limited to) artificial intelligence, big data
analytics, bioinformatics, cyber security, games, computational
linguistics, natural language processing, information retrieval, computer
vision and image analysis, geoinformatics, health informatics, database
theory, human computer interaction, information and knowledge management,
robotics, pattern recognition, statistics, social network analysis,
theoretical computer science, uncertainty in AI, network science, complex
systems science, and computationally oriented sociology, economy and
biology, as well as critical data science/studies.



Particularly welcome is work that summarizes a line of work that comprises
older and more recent papers. The described work should be relevant to a
broad audience within ECMLPKDD, and (a) illustrate the pervasiveness of
data-driven exploration and modelling in science, technology, and the
public, as well as innovative applications, and/or (b) focus on theoretical
results.



Note that papers focusing only on software implementations rather than on
the interdisciplinary use of ML/DM should rather be submitted to the demo
track. Work at the core of ML/DM should target the main tracks of ECMLPKDD
rather than the Nectar Track.



Submission guidelines



Papers must be 4 pages and should be formatted according to the Author
instructions, style files and copyright form that can be found at
http://www.springer.de/comp/lncs/authors.html.



Submissions must clearly indicate which corresponding original
publication(s) are presented, and must clearly motivate the relevance of
the work in the context of machine learning and data mining. Papers should
be submitted through the conference CMT submission system
<https://cmt.research.microsoft.com/ECMLPKDD2017/> (select from the menu
the Nectar track). Accepted Nectar contributions will be presented as oral
presentations and included in the conference proceedings.



Important dates

·         Submission deadline: *Thursday, May 18, 2017*

·         Notifications of acceptance: *Thursday, June 22, 2017*

·         Submission of camera ready copies: *Thursday, July 6, 2017*



Contacts



In case you have any question, please do not hesitate to contact the Nectar
Track Chairs (Donato Malerba, Jerzy Stefanowski) at
nectar_chairs at ecmlpkdd2017.org.


We are looking forward to your proposals.

-- 

Nikola Simidjievski & Dragi Kocev

Publicity Chairs of ECML-PKDD 2017
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.zih.tu-dresden.de/pipermail/dl/attachments/20170119/e0919918/attachment.htm>