Items where Author is "Kalofolias, Janis"

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Number of items: 7.

Conference or Workshop Item (A Paper)

Kalofolias, Janis and Vreeken, Jilles
(2022) Naming the most Anomalous Cluster in Hilbert Space for Structures with Attribute Information.
In: AAAI Conference on Artificial Intelligence.
Conference: AAAI National Conference of the American Association for Artificial Intelligence

Kalofolias, Janis and Welke, Pascal and Vreeken, Jilles
(2021) SUSAN: The Structural Similarity Random Walk Kernel.
In: Proceedings of the 2021 SIAM International Conference on Data Mining (SDM).
Conference: SDM SIAM International Conference on Data Mining

Kalofolias, Janis and Boley, Mario and Vreeken, Jilles
(2019) Discovering Robustly Connected Subgraphs with Simple Descriptions.
In: ACM SIGKDD Workshop on Mining and Learning from Graphs (MLG).
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Kalofolias, Janis and Boley, Mario and Vreeken, Jilles
(2019) Discovering Robustly Connected Subgraphs with Simple Descriptions.
In: ECMLPKDD Workshop on Graph Embedding and Mining (GEM).
Conference: ECML PKDD European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)

Kalofolias, Janis and Boley, Mario and Vreeken, Jilles
(2019) Discovering Robustly Connected Subgraphs with Simple Descriptions.
In: IEEE International Conference on Data Mining (ICDM).
Conference: ICDM IEEE International Conference on Data Mining

Kalofolias, Janis and Boley, Mario and Vreeken, Jilles
(2017) Efficiently Discovering Locally Exceptional yet Globally Representative Subgroups.
In: Proceedings of the IEEE International Conference on Data Mining (ICDM).
Conference: ICDM IEEE International Conference on Data Mining

Article

Cueppers, Joscha and Kalofolias, Janis and Vreeken, Jilles
(2022) Omen: discovering sequential patterns with reliable prediction delays.
Knowledge and Information Systems. ISSN 0219-1377

This list was generated on Wed Dec 7 00:03:15 2022 CET.