引用次数
引用: 9,695
H-指数: 33
I10-指数 : 48
出版物: 89
Structure-Preserving Difference Search for XML Documents.
François Bry , Sebastian Schaffert , Erich Schubert
Extreme Markup Languages®
7
2005
Fast Reverse Geocoder using OpenStreetMap data
Erich Schubert , OpenStreetMap Mitwirkende
2015
Generalized Outlier Detection with Flexible Kernel Density Estimates.
Arthur Zimek , Hans-Peter Kriegel , Erich Schubert
siam international conference on data mining 542 -550
80
2014
On Using Class-Labels in Evaluation of Clusterings
Arthur Zimek , Stephan Günnemann , Hans-Peter Kriegel , Erich Schubert
158
2010
mReplay : Mobile Sports Replay and Fan Democracy
Erich Schubert , Patrick F. Riley
Axmedis 2005 1000 -1004
2005
Intrinsic t-Stochastic Neighbor Embedding for Visualization and Outlier Detection - A Remedy Against the Curse of Dimensionality?
Michael Gertz , Erich Schubert
similarity search and applications 188 -203
4
2017
The Relationship of DBSCAN to Matrix Factorization and Spectral Clustering.
Erich Schubert , Katharina Morik , Sibylle Hess
LWDA 2018 - Lernen, Wissen, Daten, Analysen 2018 330 -334
17
2018
Improving the Cluster Structure Extracted from OPTICS Plots.
Michael Gertz , Erich Schubert
LWDA 318 -329
33
2018
Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning co-located with SIAM International Conference on Data Mining (SDM 2019)
Eirini Ntoutsi , Arthur Zimek , Erich Schubert , Albrecht Zimmermann
2019
1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019).
Eirini Ntoutsi , Arthur Zimek , Erich Schubert , Albrecht Zimmermann
EDML@SDM 1 -3
1
2019
Evaluation and experimental design in data mining and machine learning: Motivation and summary of EDML 2019
Eirini Ntoutsi , Arthur Zimek , Erich Schubert , Albrecht Zimmermann
1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning, EDML 2019 2436 4 -4
2019
BETULA: Numerically Stable CF-Trees for BIRCH Clustering
Erich Schubert , Andreas Lang
similarity search and applications 281 -296
2020
ABID: Angle Based Intrinsic Dimensionality
Erich Schubert , Erik Thordsen
similarity search and applications 218 -232
2020
Fast and eager k-medoids clustering: O(k) runtime improvement of the PAM, CLARA, and CLARANS algorithms
Peter J. Rousseeuw , Erich Schubert
Information Systems 101804
65
2021
Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data
Hans-Peter Kriegel , Peer Kröger , Erich Schubert , Arthur Zimek
Advances in Knowledge Discovery and Data Mining 831 -838
338
2009
The (black) art of runtime evaluation: Are we comparing algorithms or implementations?
Hans-Peter Kriegel , Erich Schubert , Arthur Zimek
Knowledge and Information Systems 52 ( 2) 341 -378
93
2017
SPOTHOT: Scalable Detection of Geo-spatial Events in Large Textual Streams
Erich Schubert , Michael Weiler , Hans-Peter Kriegel
statistical and scientific database management 8
4
2016
On the Correlation Between Local Intrinsic Dimensionality and Outlierness
Michael E. Houle , Erich Schubert , Arthur Zimek
similarity search and applications 177 -191
29
2018
A framework for clustering uncertain data
Andreas Züfle , Klaus Arthur Schmid , Arthur Zimek , Erich Schubert
Proceedings of the VLDB Endowment 8 ( 12) 1976 -1979
115
2015
Fast and Scalable Outlier Detection with Approximate Nearest Neighbor Ensembles
Erich Schubert , Arthur Zimek , Hans-Peter Kriegel
database systems for advanced applications 19 -36
26
2015
Arthur Zimek Hans-Peter Kriegel Peer Kröger Michael E. Houle Jörg Sander Xiaowei Xu Ira Assent Martin Ester Peter Rousseeuw Barbora Micenková Ricardo J. G. B. Campello Guilherme Oliveira Campos Michael Gertz Tobias Emrich Andreas Züfle Thomas Bernecker Lars Lenssen Klaus Arthur Schmid Matthias Renz, Professor Emmanuel Müller