Three papers have been accepted at ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD):
- "Towards an Optimal Subspace for K-Means" by Dominik Mautz, Wei Ye, Claudia Plant and Christian Böhm
- "Let's See Your Digits: Anomalous-State Detection using Benford's Law" by Samuel Maurus and Claudia Plant
- "Learning from Labeled and Unlabeled Vertices in Networks" by Wei Yei, Linfei Zhou, Dominik Mautz, Claudia Plant and Christian Böhm