Machine Learning and Knowledge Discovery in Databases

Lecture notes in computer science

Abstract

The ECML PKDD 2019 proceedings are dealing with machine learning and knowledge discovery in databases, including innovative applications in this area. They cover topics such as supervised learning; multi-label learning; large-scale learning; deep learning; probabilistic models; etc.

Authors 6

1. Ulf Brefeld

   Leuphana University of Lüneburg

   Affiliation as printed

   Leuphana University, Lüneburg, Germany

2. Élisa Fromont

   Institut national de recherche en sciences et technologies du numérique · Institut de Recherche en Informatique et Systèmes Aléatoires

   Affiliation as printed

   IRISA/Inria, Rennes, France

3. Andreas Hotho

   University of Würzburg

   Affiliation as printed

   University of Würzburg, Würzburg, Germany

4. Arno Knobbe Aachen

   Leiden University

   Affiliation as printed

   Leiden University, Leiden, The Netherlands

5. Marloes H. Maathuis

   ETH Zurich

   Affiliation as printed

   ETH Zurich, Zurich, Switzerland

6. Céline Robardet
   Affiliation as printed

   DM2L - Data Mining and Machine Learning (France)