Call For Industrial Track Papers

Submission is now over!

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 2015 edition of ECML PKDD will take place in Porto, Portugal, September 7-11.

Starting this year, the INDUSTRIAL, GOVERNMENTAL & NGO Track of ECML PKDD 2015 has 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 links between those engaged in scientific research and practitioners working to improve big data mining and large scale machine learning analytics. Novel ideas, controversial issues, open problems and comparisons of competing approaches are strongly encouraged. Experiences from practitioners provide crucial input into future research directions and allow others to learn from successes and failures.

Submissions are invited on innovative real-world data systems and applications, state-of-the-art practice and experience, surveys from real-world projects and industrial experiences, and identification of unsolved research challenges of machine learning, knowledge discovery and data mining.  The  INDUSTRIAL, GOVERNMENTAL & NGO track is distinct from the Research Track in that submissions solve real-world problems and focus on engineering systems, applications, and challenges. Submissions must clearly identify one of the following three areas they fall into: “Engineering Systems”, “Data Science”, or “Challenges”.

The criteria for submissions is the following:

  • Engineering Systems: presents non-trivial systems or infrastructure designed to solve real-world problems, where the main novelty is the approach to design, deploy and manage the system.
  • Data Science: 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 INDUSTRIAL, GOVERNMENTAL &  NGO Track proceedings of ECML/PKDD 2015 will be published by Springer as a specific volume of the Proceedings of ECML/PKDD 2015, in the Lecture Notes in Artificial Intelligence series (LNAI).

 

Submissions
The papers must be written in English and formatted according to the Springer LNAI guidelines. Authors instructions and style files can be downloaded at: 
http://www.springer.de/comp/lncs/authors.html

The maximum length of papers is 16 pages in this format. Over length 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 2015 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:

  1. Create an account and Log in to conference CMT submission site. Please note that user accounts in each CMT conference is independent of other conferences. Thus, the credentials for any previous CMT conference will not work for ECMLPKDD'15.
  2. Specify your conflict domains.
  3. Create a New Paper submission.
  4. Select the  Industrial Track.
  5. 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 in 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 INDUSTRIAL, GOVERNMENTAL &  NGO Track of ECML PKDD 2015 must identify the application domain that is the subject of their paper. Example application domains are finance, government, e-commerce, retail, mobile, medicine, healthcare, security, public policy, science, engineering, law, manufacturing, and telecommunications.

 

Reviewing process
The INDUSTRIAL, GOVERNMENTAL &  NGO Track of ECML PKDD 2015 has a separate Program Committee from the Research Track of ECML PKDD 2015. Papers submitted to the INDUSTRIAL, GOVERNMENTAL & NGO Track of ECML PKDD 2015 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: March 26, 2015
Paper submission deadline: April 2, 2015
Author notification: June 1, 2015
Camera ready submission: June 15, 2015

 

Contact
You can contact the Industrial Track Chairs at industrychairs@ecmlpkdd2015.org.

Albert Bifet (Huawei) 
Michael May (Siemens) 
Bianca Zadrozny (IBM)