LWDA 2021 - Call for Papers - FGKDML

Lernen. Wissen. Daten. Analysen. - Learning. Knowledge. Data. Analytics.

LWDA 2021 hosted by the Munich Center for Machine Learning (MCML), Munich, 01.09–03.09.2021.

LWDA 2021 in Munich

Fachgruppe Knowledge Discovery and Machine Learning

KDML is a workshop series that aims at bringing together the German Machine Learning and Data Mining community. The KDML 2021 Workshop is co-located with the annual LWDA 2021 – Learning, Knowledge, Data, Analytics – conference that will take place as an online conference organized by the Munich Center for Machine Learning (MCML) from September 01, 2021 to September 03, 2021.

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.

We encourage submissions addressing Fairness in Machine Learning as our focus topic of KDML 2021. As a cross-cutting topic throughout our community we are looking forward to submissions covering formal foundations of fairness in machine learning and a variety of applications of all areas of fair and transparent data analytics.


Wednesday 2021-09-01: 13:30-16:00

Thursday 2021-09-02: 11:00-12:30

Thursday 2021-09-02: 13:30-16:00

Friday 2021-09-03: 11:00-12:30

Friday 2021-09-03: 13:30-15:00

Topics of interest include but are not limited to

Program Chairs

Martin Atzmueller, Osnabrück University
Emmanuel Müller, TU Dort­mund Uni­ver­sity

Program Committee (vorläufig, tbc)

Achim Rettinger, Trier University
Alexander Hinneburg, Martin-Luther-University Halle-Wittenberg
Andreas Hotho, University of Würzburg
Ansgar Scherp, Ulm University
Arthur Zimek, University of Southern Denmark
Bernd Bischl, Ludwig-Maximilians-University Munich
Christian Bauckhage, University of Bonn
Eirini Ntoutsi, Freie Universität Berlin
Ernesto Diaz-Aviles, Libre AI
Florian Lemmerich, University of Passau
Gerd Stumme, University of Kassel
Hannes Mühleisen, Centrum Wiskunde & Informatica (CWI)
Johannes Fürnkranz, JKU Linz
Klaus-Dieter Althoff, University of Hildesheim
Kristian Kersting, TU Darmstadt
Marius Kloft, TU Kaiserslautern
Marwan Hassani, Eindhoven University of Technology
Matthias Hagen, Bauhaus University Weimar
Ralf Krestel, Hasso Plattner Institute
Rainer Gemulla, University of Mannheim
Robert Jäschke, Humboldt-Universität zu Berlin
Stephan Günnemann, TU Munich
Thomas Seidl, Ludwig-Maximilians-University Munich
Ulf Leser, Humboldt-Universität zu Berlin
Ute Schmid, University of Bamberg
Wouter Duivesteijn, Eindhoven University of Technology

Submission Guidelines / Paper format

Submissions should be alternatively: 4-6 pages long for short papers, from 7 up to 12 pages long for full papers. Pre-published Paper, i.e., one-pager summaries for resubmissions recently published at other renowned conferences - 1 Page abstract, plus link to original paper - that will be presented at KDML but will not be re-published. All contributions must be submitted via EasyChair as PDF at: https://easychair.org/conferences/?conf=lwda2021 Please select the track “Knowledge Discovery and Machine Learning (KDML)” when submitting your paper. The publication of the conference proceedings will be with CEUR Workshop Proceedings (CEUR-WS.org). All papers should be formatted with the customized CEUR template: https://www.overleaf.com/read/sxqkrwncfrhg. All workshop participants have to register for the LWDA 2021 conference.

Important Dates

Please note that all deadlines are AoE (Anywhere on Earth).