Stebėti
Erich Schubert
Erich Schubert
Professor of Data Mining, TU Dortmund University
Patvirtintas el. paštas cs.tu-dortmund.de - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
DBSCAN revisited, revisited: why and how you should (still) use DBSCAN
E Schubert, J Sander, M Ester, HP Kriegel, X Xu
ACM Transactions on Database Systems (TODS) 42 (3), 1-21, 2017
29562017
A survey on unsupervised outlier detection in high‐dimensional numerical data
A Zimek, E Schubert, HP Kriegel
Statistical Analysis and Data Mining: The ASA Data Science Journal 5 (5 …, 2012
11112012
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study
GO Campos, A Zimek, J Sander, RJGB Campello, B Micenková, ...
Data mining and knowledge discovery 30, 891-927, 2016
9062016
LoOP: local outlier probabilities
HP Kriegel, P Kröger, E Schubert, A Zimek
Proceedings of the 18th ACM conference on Information and knowledge …, 2009
7272009
Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms
E Schubert, PJ Rousseeuw
Similarity Search and Applications: 12th International Conference, SISAP …, 2019
4622019
Outlier detection in axis-parallel subspaces of high dimensional data
HP Kriegel, P Kröger, E Schubert, A Zimek
Advances in Knowledge Discovery and Data Mining: 13th Pacific-Asia …, 2009
4282009
Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection
E Schubert, A Zimek, HP Kriegel
Data mining and knowledge discovery 28, 190-237, 2014
3942014
Interpreting and Unifying Outlier Scores
HP Kriegel, P Kröger, E Schubert, A Zimek
SIAM International Conference on Data Mining (SDM), 2011
3852011
Can shared-neighbor distances defeat the curse of dimensionality?
ME Houle, HP Kriegel, P Kröger, E Schubert, A Zimek
Scientific and Statistical Database Management: 22nd International …, 2010
3792010
The (black) art of runtime evaluation: Are we comparing algorithms or implementations?
HP Kriegel, E Schubert, A Zimek
Knowledge and Information Systems 52, 341-378, 2017
3142017
On Evaluation of Outlier Rankings and Outlier Scores
E Schubert, R Wojdanowski, HP Kriegel, A Zimek
SIAM Data Mining 2012, 2012
2272012
A framework for clustering uncertain data
E Schubert, A Koos, T Emrich, A Züfle, KA Schmid, A Zimek
Proceedings of the VLDB Endowment 8 (12), 1976-1979, 2015
2202015
Generalized outlier detection with flexible kernel density estimates
E Schubert, A Zimek, HP Kriegel
Proceedings of the 2014 SIAM international conference on data mining, 542-550, 2014
2192014
Fast and eager k-medoids clustering: O (k) runtime improvement of the PAM, CLARA, and CLARANS algorithms
E Schubert, PJ Rousseeuw
Information Systems 101, 101804, 2021
2072021
On using class-labels in evaluation of clusterings
I Färber, S Günnemann, HP Kriegel, P Kröger, E Müller, E Schubert, ...
MultiClust: 1st international workshop on discovering, summarizing and using …, 2010
1732010
Outlier Detection in Arbitrarily Oriented Subspaces
HP Kriegel, P Kröger, E Schubert, A Zimek
Data Mining (ICDM), 2012 IEEE 12th International Conference on, 379-388, 2012
1652012
A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms
HP Kriegel, P Kröger, E Schubert, A Zimek
Scientific and Statistical Database Management, 418-435, 2008
1572008
Evaluation of Clusterings–Metrics and Visual Support
E Achtert, S Goldhofer, HP Kriegel, E Schubert, A Zimek
IEEE 28th International Conference on Data Engineering (ICDE), 2012, 1285-1288, 2012
1272012
Signitrend: scalable detection of emerging topics in textual streams by hashed significance thresholds
E Schubert, M Weiler, HP Kriegel
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
1202014
Discriminative features for identifying and interpreting outliers
XH Dang, I Assent, RT Ng, A Zimek, E Schubert
2014 IEEE 30th international conference on data engineering, 88-99, 2014
1182014
Sistema negali atlikti operacijos. Bandykite vėliau dar kartą.
Straipsniai 1–20