We invite submissions of high-quality manuscripts reporting relevant research studies on all topics related
to machine learning, knowledge discovery, and data mining for the journal track of the European Conference on
Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD) 2025. The journal
track is implemented in partnership with the Machine Learning Journal and the Data Mining and Knowledge
Discovery Journal. The conference provides an international forum to discuss the latest high-quality research
results in all areas related to machine learning, data mining, and knowledge discovery. The complete CFP can
be found at
https://ecmlpkdd.org/2025/submissions-journal-track/.
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Time scale
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The journal track allows continuous submissions from October 2024 to February 2025. Papers will be processed and
sent out for review after each of the following three cutoff dates:
October 11, 2024
December 13, 2024
February 14, 2025
The deadline on these dates is 23:59, Anywhere on Earth (AoE). The reviewing process is single-blind.
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Submission procedure
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To submit to this track, authors have to make a journal submission to the CMT site (link
https://cmt3.research.microsoft.com/ECMLPKDDJT2025/Submission/Index).
They must submit the title and abstract, add the author names, choose the areas related to the paper, fill out an
information sheet, and indicate which of the two journals the paper is intended for. The full paper in pdf format,
following the Springer templates, must also be submitted to the CMT system. Please note that no paper can be submitted
to both journals. It is highly recommended that submitted papers do not exceed 20 pages, including references. Unlimited
appendices may accompany every paper.
Manuscripts submitted to the Journal Track that receive the final acceptance decision by July 15, 2025, will be presented
at ECML-PKDD 2025 in Porto.
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Contact
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For further information, please contact the email:
ecml-pkdd-2025-jo...@googlegroups.com----------------------
Journal Track Chairs
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Ana Carolina Lorena, Aeronautics Institute of Technology, Brazil
Concha Bielza, Universidad Politécnica de Madrid, Spain
Longbing Cao, University of Technology Sydney, Australia
Arlindo Oliveira, Instituto Superior Técnico, Portugal