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        <article-title>FG und KDML: Knowledge Discovery, Data Maschinelles Lernen Mining</article-title>
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          <string-name>Chairs:</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
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          <institution>Clara Holzhu ̈ter Felix Stamm Florian Lemmerich Alexander Hinneburg Robert J ̈aschke Josephine Thomas Matthias Schubert</institution>
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        <aff id="aff1">
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          <institution>Pascal Welke (Rheinische Friedrich-Wilhelms-Universit ̈at Bonn) Felix Stamm, Rheinisch-Westf ̈alische Technische Hochschule Aachen</institution>
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      <p>Preface
The LWDA workshop on knowledge discovery, data mining and machine
learning (KDML) joins the German machine learning and data mining community.
The research workshop concerns any aspects of data mining, knowledge
discovery and machine learning with a special focus on graph machine learning
and data mining. Furthermore, the workshop encompasses various topics such
as deep learning, representation learning, reinforcement learning, text mining,
explainable artificial intelligence (XAI), fairness and transparency in machine
learning, or machine learning in data streams.</p>
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