SIG Knowledge Discovery, Data Mining und Machine Learning (KDML)

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/

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)