Four papers accepted at ICDM 2024

Four papers by various members of the Data Mining and Machine Learning group have been accepted at the IEEE International Conference on Data Mining (ICDM 2024)

We are proud to announce that the following four papers have been accepted at the 24th IEEE International Conference on Data Mining (ICDM 2024):

  • Li Qian, Jing Qian, Xin Sun, Wengang Guo, and Christian Böhm: "ADOD: Adaptive Density Outlier Detection"
  • Peiyan Li, Honglian Wang, and Christian Böhm: "Scalable Graph Classification via Random Walk Fingerprints"
  • Anna Beer*, Pascal Weber*, Lukas Miklautz, Collin Leiber, Walid Durani, Christian Böhm, and Claudia Plant: "SHADE: Deep Density-based Clustering"
  • Li Qian, Claudia Plant, Yalan Qin, Jing Qian, and Christian Böhm: "DynoGraph: Dynamic Graph Construction for Nonlinear Dimensionality Reduction"

ICDM 2024 is taking place from Dec. 9 to Dec. 12, 2024 in Abu Dhabi, United Arab Emirates - it is A* (core ranking), and together with KDD one of the leading conferences in Data Mining.

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