Erich Schubert

Computer Science · Physical Sciences

30h-index8.0kcitations135works1.42yr avg
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Research Topics

Anomaly Detection Techniques and Applications(34), Data Management and Algorithms(32), Advanced Clustering Algorithms Research(26), Data Mining Algorithms and Applications(16), Time Series Analysis and Forecasting(13)

Publications135 total

"S-PIC4CHU (Semantics-based Provenance, Integrity, and Curation for Consistent, High-quality, and Unbiased data science)".
Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)·2027
Approximate Single-Linkage Clustering Using Graph-Based Indexes: MST-Based Approaches and Incremental Searchers
Lecture notes in computer science·2025· 2 cited
Hierarchical Density-Based Clustering Using Incremental Similarity Search
Lecture notes in computer science·2025
Theoretical and Practical Insights Into Graph-Based Indexing
Lecture notes in computer science·2025
On the evaluation and optimization of LabeledPAM
Information Systems·2025· 1 cited
An Alternating Optimization Scheme for Binary Sketches
Information Systems·2025· 1 citedOpen Access
A comparative evaluation of clustering-based outlier detection
Data Mining and Knowledge Discovery·2025· 12 citedOpen Access
S-PIC4CHU: Semantics-based Provenance, Integrity, and Curation for Consistent, High-quality, and Unbiased Data Science
Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)·2025
Research Project Exhibition Track SEBD 2025: The S-PIC4CHU Project - Semantics-based Provenance, Integrity, and Curation for Consistent, High-quality, Unbiased Data Science.
Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)·2025
Proceedings of the 33nd Symposium on Advanced Database SystemsIschia, Italy, June 16th to 19th, 2025
Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)·2025
S-PIC4CHU: Semantics-Enriched Techniques for Data Preparation in Data Science
Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)·2025
Archetype Discovery from Taxonomies: A Method to Cluster Small Datasets of Categorical Data
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences·2025· 1 citedOpen Access
Advancing the PAM Algorithm to Semi-supervised k-Medoids Clustering
Lecture notes in computer science·2024· 1 cited
Grouping Sketches to Index High-Dimensional Data in a Resource-Limited Setting
Lecture notes in computer science·2024· 1 cited
Hierarchical Clustering Without Pairwise Distances by Incremental Similarity Search
Lecture notes in computer science·2024· 2 cited
Explicit Formulae to Interchangeably use Hyperplanes and Hyperballs using Inversive Geometry
arXiv (Cornell University)·2024· 1 citedOpen Access
Who Did What When? Discovering Complex Historical Interrelations in Immersive Virtual Reality
2023· 2 citedOpen Access
Medoid Silhouette clustering with automatic cluster number selection
Information Systems·2023· 30 cited
Medoid Silhouette clustering with automatic cluster number selection
arXiv (Cornell University)·2023· 4 citedOpen Access
Stop using the elbow criterion for k-means and how to choose the number of clusters instead
ACM SIGKDD Explorations Newsletter·2023· 136 cited
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Frequent Co-authors

Arthur Zimek(32), Hans‐Peter Kriegel(22), Peer Kröger(10), Michael E. Houle(6), Elke Achtert(5), Michael Gertz(4), M. Weiler(3), Lars Lenssen(3), Thomas Bernecker(3), Jörg Sander(2), Ira Assent(2), Tobias Emrich(2), Remigius Wojdanowski(2), Stefan Sohn(2), Jörg C. Prinz(2), Kristian Reich(2), Matthias Augustin(2), Matthias Renz(2), Martin Ester(1), Hans Peter Kriegel(1)