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Call for Papers – FGKDML

Submission deadline July 20, 2023 - for long and short papers.

KDML is a workshop series that aims at bringing together the German Machine Learning and Data Mining community. The KDML 2023 Workshop is co-located with the annual LWDA 2023 – Learning, Knowledge, Data, and Analysis – conference and will take place from 

October 9 to October 11, 2023, 

hosted at the Philipps-University Marburg. The conference is held in person.

Call for Papers

We invite submissions on all aspects of data mining, knowledge discovery, and machine learning. In addition to original research, we also invite resubmissions of recently published articles at major conference venues related to KDML. Moreover, KDML explicitly invites student submissions.

Topics of interest include but are not limited to:

  1. Foundations, algorithms, models, and theory of machine learning and data mining
  2. Supervised, semi-supervised, and unsupervised learning
  3. Machine learning on networks and graphs
  4. Deep learning and representation learning
  5. Rule-based learning and pattern mining
  6. Reinforcement learning
  7. Fairness, transparency and formal guarantees in machine learning
  8. Explainability and Interpretability in machine learning and knowledge discovery
  9. Trustworthiness in machine learning and knowledge discovery
  10. Temporal, spatial & spatio-temporal data analytics
  11. Online learning and machine learning in data streams
  12. Text mining, mining unstructured and semi-structured data
  13. Parallel and distributed data analytics
  14. Interactive and visual analytics
  15. Applications of data mining and machine learning in all domains including natural-,  life-, and social sciences, health, financial, environment, engineering, and humanities
  16. Open source frameworks and tools for data mining and machine learning

Types of Submissions

We solicit new contributions (up to 12 pages excluding references, peer-reviewed and to be published by LWDA). Shorter contributions (4 pages) are also possible. We welcome submissions in English and German, however English is preferred. All papers must be formatted according to the current CEUR-WS template provided on the LWDA homepage. All contributions must be submitted via EasyChair using the link: 

https://easychair.org/conferences/?conf=lwda2023

Only PDF is permitted. Please select the track "FGKDML" for your submission.

We further welcome submissions of works accepted recently at top-tier international venues related to KDML (e.g., ECML PKDD, ICML, NIPS, KDD, ICLR, IJCAI, AAAI, ICDM, SDM, etc.). These will not be reviewed but selected by the PC chairs. They will not be included in the LWDA proceedings. Please clearly indicate in the abstract of your EasyChair submission that your paper is a resubmission.

Evaluation Process and Publication of Unpublished Submissions

Each submission will be reviewed by at least two independent reviewers. The conference proceedings will be published as CEUR Workshop Proceedings and will be indexed by DBLP.

Participation and Presentations

All workshop participants have to register for the LWDA 2023 conference. Papers will be accepted for either long (20 min) or short (10 min) presentations; authors are expected to also prepare a poster presentation of their work.

Important Dates

Submission deadline: July 31, 2023
Notification of acceptance: August 30, 2023
Camera-ready copy: September 14, 2023
Workshop: October 9 – 11, 2023

Program Committee

Martin Atzmueller, Osnabrück University
Christian Bauckhage, Fraunhofer IAIS & Univ. of Bonn
Ulf Brefeld, Leuphana University of Lüneburg
Mirko Bunse, TU Dortmund
Dennis Groß, Radboud University
Andreas Hotho, University of Wuerzburg
Eyke Hüllermeier, LMU Munich
Robert Jäschke, HU Berlin
Christian Kühnert, Fraunhofer IOSB
Thomas Liebig, TU Dortmund
Thomas Seidl, LMU Munich
Pascal Welke, TU Wien
Stefan Wrobel, Fraunhofer IAIS & Univ. of Bonn

Workshop Organisation

Felix Stamm, Rheinisch-Westfälische Technische Hochschule Aachen

Dr. Helge Spieker, Simula Research Laboratory, Oslo, Norway