[DL] ECML-PKDD 2017 - CALL FOR PAPERS - [Applied Data Science Track]

[ECML-PKDD 2017]

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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).
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The European Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Databases, ECML-PKDD, provides an international
forum for the discussion of the latest high-quality research results and
applications in all areas related to machine learning, data mining and
knowledge discovery in databases, as well as other innovative application
domains. The 2017 edition of ECML-PKDD will take place in Skopje,
Macedonia, September 18-22.
The APPLIED DATA SCIENCE Track of ECML-PKDD 2017 follows the success of the
previous years with a separate Program Committee and a separate Proceedings
volume. The track aims to bring together participants from academia,
industry, governments and NGOs (non-governmental organizations) in a venue
that highlights practical and real-world studies of machine learning,
knowledge discovery and data mining. This track wants to encourage mutually
beneficial interactions between those engaged in scientific research and
practitioners working to improve big data mining and large-scale machine
learning analytics. Novel and practical ideas, open problems in applied
data science, description of application–specific challenges and unique
solutions adopted in bridging the gap between research and practice are
some of the relevant topics for this track.
Submissions are invited on innovative real-world data systems and
applications, state-of-the-art practices, identification of unsolved
challenges in deploying research ideas in practical data science
applications, surveys from real-world projects and industrial experiences
that advance the understanding of the contributions and limitations of
machine learning and data mining technologies in real-world applications.
The APPLIED DATA SCIENCE Track is distinct from the Research Track in that
submissions solve real-world problems and focus on applications and
challenges. Submissions must clearly identify one of the following three
areas they fall into: "Engineering Systems", "Data Analytics", or
"Challenges".
The criteria for submissions are the following:
• Engineering Systems: presents non-trivial systems or infrastructure
designed to solve real-world big data problems, where the main novelty is
the approach to design, deploy and manage the system.
• Data Analytics: presents new practical data science studies that provide
value to the community of practitioners, and researchers in industry,
governments and NGOs. These studies should be useful, non-trivial, and
externally validated.
• Challenges: presents novel ideas, current data analytic challenges,
controversial issues, open problems and comparisons of competing approaches.
Proceedings
The APPLIED DATA SCIENCE Track proceedings of ECML-PKDD 2017 will be
published by Springer in a separate volume of the Proceedings of ECML-PKDD
2017, in the Lecture Notes in Artificial Intelligence series (LNAI). At
least one of the authors of each accepted paper must register for the
conference to present the paper on site.
Submissions
The papers must be written in English and formatted according to the
Springer LNAI guidelines. Author's instructions and style files can be
downloaded at: http://www.springer.de/comp/lncs/authors.html
The maximum length of papers is 12 pages in this format. Longer papers will
be rejected without review (papers with smaller page margins and font sizes
than specified in the author instructions and set in the style files will
also be treated as over length). Papers submitted should report original
work; ECML-PKDD 2017 will not accept any paper, which, at the time of
submission, is under review or has already been accepted for publication in
a journal or another conference. Authors are also expected not to submit
their papers elsewhere during the review period.
To submit a paper:
• Create an account and log into the conference CMT submission site for
ECML-PKDD 2017. Please note that user accounts for different CMT
conferences  are independent of each other. Thus, any credentials you might
have for previous CMT conferences will not work for ECML-PKDD 2017.
• Specify your conflict domains.
• Create a New Paper submission.
• Select the Industrial Track.
• Complete the submission form by providing title, authors, one primary
subject area, any number of secondary subject areas and a short abstract.
The manuscript must be uploaded in pdf format. You will also need to answer
the questions  at the site.
Evaluation and Decision Criteria
Submissions will be evaluated on the basis of relevance, novelty,
originality, technical soundness, clarity, empirical and/or practical
validation, external significance and validity, quality and consistency of
presentation, and appropriate comparison to related work. Special emphasis
will be placed on the relevance of the proposed contribution to
practitioners. Authors are strongly encouraged to make data and code
publicly available whenever possible.
Authors of papers submitted to the APPLIED DATA SCIENCE Track of ECML-PKDD
2017 must identify the application domain that is the subject of their
paper. Application domains include, but are not limited to the following:
finance, government, e-commerce, retail, mobile, medicine, healthcare,
security, public policy, science, engineering, law, manufacturing, and
communications.
Reviewing process
The APPLIED DATA SCIENCE Track of ECML-PKDD 2017 has a separate Program
Committee from the Research Track. Papers submitted to the APPLIED DATA
SCIENCE Track of ECML-PKDD 2017 will be reviewed by at least three
referees. The review process is single-blind (reviewer identities unknown
to authors) and there will be no opportunity for author rebuttal. This
decision was made to minimize reviewer workload and to concentrate it in
time, which may ultimately result in better quality reviews and decisions.
If necessary, a discussion will take place among the reviewers of a paper
until a decision is reached.
Important Dates
• Abstract submission deadline: Thursday, April 13, 2017
• Paper submission deadline: Thursday, April 20, 2017
• Author notification: Thursday, June 22, 2017
• Camera ready submission: Thursday, July 6, 2017
Contact
You can contact the Industrial Track Chairs (Yasemin Altun, Kamalika Das,
Taneli Mielikäinen) at mailto:industrial_chairs at ecmlpkdd2017.org.


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Nikola Simidjievski & Dragi Kocev

Publicity Chairs of ECML-PKDD 2017
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