The special interest group Knowledge Discovery and Machine Learning (KDML) is part of the Section for AI and focuses on the algorithmic, technical, systemic and economic aspects of learning systems and systems that analyze data. It thus is concerned with the research and application questions of the computer science sub-disciplines Machine Learning, Data Mining and Knowledge Discovery, catering both to academic researchers and practitioners from industry.

Website: https://kdml.iais.fraunhofer.de/


Events


Chairs

Chair:
Prof. Dr. Stefan Wrobel
Fraunhofer Institut für Autonome intelligente Systeme
(email)  

Co-chair:
Prof. Dr. Andreas Hotho
Julius-Maximilians-Universität Würzburg, Data Mining and Information Retrieval Group
(email)