The 36th Annual Conference of the German Classification Society on
Data Analysis, Machine Learning and Knowledge Discovery
August 1-3, 2012, Hildesheim, Germany
 
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Past GfKl 2011 in Frankfurt
AREA Machine Learning and Knowledge Discovery (MLKD)

Call for Contributions to the Area:

We solicit contributions on knowledge discovery with data mining and machine learning methods, including works on the underpinnings of supervised, unsupervised and semisupervised learning, studies of challenging applications like social networks and recommendation engines, and advances on the analysis of complex data like data streams and relational data. The area on data mining and machine learning addresses problems in data analysis from the perspective of computer science. It covers research in all the fundamental supervised and unsupervised problems in machine learning and data mining, research in specific actual problem settings such as relational data and streaming data, as well as research in application areas ranging from personalization to computer vision.

Topics for this Area:

Scientific Program Committee:
Myra Spiliopoulou, Otto-von-Guericke-Univ. Magdeburg, Germany (Area Chair)
Lars Schmidt-Thieme, Univ. Hildesheim, Germany (Area Chair)
Martin Atzmueller, Universität Kassel, Germany
Eirini Ntoutsi, Ludwig-Maximilians-Universitat Munich, Germany
Georg Krempl, Otto-von-Guericke-Univ. Magdeburg, Germany
Joao Gama, Univ. Porto, Portugal
Eyke Huellermeier, Univ. Marburg, Germany
Thomas Seidl, RWTH Aachen, Germany
Andreas Hotho, Univ. Wuerzburg, Germany
Michael Hahsler, Lyle Univ., USA