APPLIED DATA SCIENCE TRACK
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 applied research and implementation in all areas related to data mining, data analytics, big data, data science and machine learning for practical contexts and real world applications. The 2018 edition of ECML-PKDD will take place in Dublin, Ireland, September 10-14.
The Applied Data Science Track of ECML-PKDD 2018 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 Non-Governmental Organizations (NGOs) 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 large-scale data mining and machine learning. Novel and practical ideas, open problems in Applied Data Science, comparative studies, 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. We encourage submissions with at least one co-author with a non-academic affiliation.
The Applied Data Science Track is distinct from the Conference Track in that submissions solve real-world problems and focus on applications and deployment 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, externally validated, and with practical applications.
Challenges: presents novel ideas, current data analytics challenges when applied to real-world scenarios, controversial issues, open problems and comparisons of competing approaches, tradeoffs, lessons learned and deployment challenges.
We encourage the authors to contact the track chairs for clarifications.
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 2018 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, environment, sustainability, social good, education, migration, retail, mobile, medicine, healthcare, security, public policy, science, engineering, law, manufacturing, and communications.
Electronic submissions will be handled via Microsoft CMT.
To submit a paper:
- Create an account and Log in to conference CMT submission site. Please note that user accounts in each CMT conference are independent of other conferences, so you will need to create a new account.
- Create a New Paper submission.
- Select the Applied Data Science 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.
Before completing the submission, please make sure you have specified all your conflicts of interest (see details below).
Abstracts need to be registered by Thursday April 5, 2018 and full submissions will be accepted until Thursday April 12, 2018.
Papers must be written in English and formatted according to the Springer LNCS guidelines. Author instructions, style files and copyright form can be downloaded here.
The maximum length of papers is 16 pages in this format. Overlength 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 overlength).
Up to 10 MB of additional materials (e.g. proofs, audio, images, video, data or source code) can be attached to the submission. Note that the reviewers and the program committee reserve the right to judge the paper solely on the basis of the 16 pages of the paper; looking at any additional material is at the discretion of the reviewers and is not required.
ATTENDANCE AND PRESENTING
For each accepted paper, at least one author must attend the conference and present the paper at the ECML-PKDD 2018 conference. The proceedings will be published after the conference and will include only the papers that authors have presented at the conference. Please make early arrangements for your travel and immigration (e.g., Visa) requirements. Please note that Ireland is not part of the Schengen space, and non-EU citizens may require a Visa to travel to Ireland (also see http://www.ecmlpkdd2018.org/visa-information/ ).
ECML-PKDD considers the author list submitted with the paper as final. No additions or deletions to this list may be made after paper submission, either during the review period, or in case of acceptance, at the final camera ready stage.
CONFLICTS OF INTEREST
During the submission process, enter the email domains of all institutions with which you have an institutional conflict of interest. You have an institutional conflict of interest if you are currently employed or have been employed at this institution in the past three years, or you have extensively collaborated with this institution within the past three years. Authors are also required to identify all Program Committee members and Area Chairs with whom they have a conflict of interest. Examples of conflict of interest include: co-author in the last five years, advisor, student or colleague.
The review process is single-blind (authors identities known to reviewers). Submissions will be evaluated on the basis of technical quality, novelty, potential impact, and clarity.
DUAL SUBMISSION POLICY
Papers submitted should report original work. ECML-PKDD 2018 will reject without review any paper that, at the date of April 12, 2018, 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. The dual submissions policy applies during the following period: from April 12 to June 14, 2018.
REPRODUCIBLE RESEARCH PAPERS
Authors are encouraged to adhere to the best practices of Reproducible Research (RR), by making available data and software tools for reproducing the results reported in their papers, where this is possible. Authors may flag their submissions as RR and make software and data accessible to reviewers who will verify the accessibility of software and data. Links to data and code must be inserted in the final version of RR papers. For the sake of persistence and proper authorship attribution, we require the use of standard repository hosting services such as Dataverse, mldata.org, OpenML, figshare, Zenodo, etc. for data sets, and mloss.org, Bitbucket, GitHub, figshare (where it is possible to assign a DOI) etc. for source code. If data or code gets updated after the paper is published, it is important to enable researchers to access the versions that were used to produce the results reported in the paper. Authors who do not have a preferred repository should consult Springer Nature’s list of repositories and research data policy.
- Abstract submission deadline: Thursday, April 5, 2018
- Paper submission deadline: Thursday, April 12, 2018
- Author notification: Thursday, June 14, 2018
- Camera ready submission: Friday, June 29, 2018
All deadlines expire on 23:59 AOE (Anywhere On Earth).
For any additional questions on the Applied Data Science track, you can contact the Applied Data Science Chairs (Alice Marascu and Edward Curry) at firstname.lastname@example.org
For general questions on the conference, please contact the General Chairs (Michele Berlingerio, Neil Hurley) at email@example.com .