Erich Schubert

发表

ABID: Angle Based Intrinsic Dimensionality

Erik Thordsen, Erich Schubert, 2020, SISAP.

Evaluation of Clusterings -- Metrics and Visual Support

Elke Achtert, Hans-Peter Kriegel, Arthur Zimek, 2012, 2012 IEEE 28th International Conference on Data Engineering.

Similarity Search and Applications

Laurent Amsaleg, Michael E. Houle, Erich Schubert, 2016, Lecture Notes in Computer Science.

Geodetic Distance Queries on R-Trees for Indexing Geographic Data

Hans-Peter Kriegel, Arthur Zimek, Erich Schubert, 2013, SSTD.

Outlier Detection in Arbitrarily Oriented Subspaces

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2012, 2012 IEEE 12th International Conference on Data Mining.

Intrinsic t-Stochastic Neighbor Embedding for Visualization and Outlier Detection - A Remedy Against the Curse of Dimensionality?

Michael Gertz, Erich Schubert, Erich Schubert, 2017, SISAP.

Can Shared-Neighbor Distances Defeat the Curse of Dimensionality?

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2010, SSDBM.

SPOTHOT: Scalable Detection of Geo-spatial Events in Large Textual Streams

Hans-Peter Kriegel, Erich Schubert, Michael Weiler, 2016, SSDBM.

On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study

Arthur Zimek, Ira Assent, Ricardo J. G. B. Campello, 2016, Data Mining and Knowledge Discovery.

1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019)

Arthur Zimek, Albrecht Zimmermann, Erich Schubert, 2019, EDML@SDM.

Evaluation of Multiple Clustering Solutions

Hans-Peter Kriegel, Arthur Zimek, Erich Schubert, 2011, MultiClust@ECML/PKDD.

Semantic Word Clouds with Background Corpus Normalization and t-distributed Stochastic Neighbor Embedding pdf

Johanna Geiß, Andreas Spitz, Michael Gertz, 2017, ArXiv.

Spatial Outlier Detection: Data, Algorithms, Visualizations

Elke Achtert, Hans-Peter Kriegel, Arthur Zimek, 2011, SSTD.

DBSCAN Revisited, Revisited

Hans-Peter Kriegel, Martin Ester, Jörg Sander, 2017, ACM Trans. Database Syst..

A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2008, SSDBM.

Generalized and efficient outlier detection for spatial, temporal, and high-dimensional data mining

Erich Schubert, 2013 .

Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms pdf

Erich Schubert, Peter Rousseeuw, P. Rousseeuw, 2018, SISAP.

Improving the Cluster Structure Extracted from OPTICS Plots

Michael Gertz, Erich Schubert, Erich Schubert, 2018, LWDA.

The (black) art of runtime evaluation: Are we comparing algorithms or implementations?

Hans-Peter Kriegel, Arthur Zimek, Erich Schubert, 2017, Knowledge and Information Systems.

ELKI: A large open-source library for data analysis - ELKI Release 0.7.5 "Heidelberg" pdf

Arthur Zimek, Erich Schubert, A. Zimek, 2019, ArXiv.

Generalized Outlier Detection with Flexible Kernel Density Estimates

Hans-Peter Kriegel, Arthur Zimek, Erich Schubert, 2014, SDM.

mReplay : Mobile Sports Replay and Fan Democracy

Erich Schubert, Patrick F. Riley, 2005 .

Numerically stable parallel computation of (co-)variance

Michael Gertz, Erich Schubert, Erich Schubert, 2018, SSDBM.

Visual Evaluation of Outlier Detection Models

Elke Achtert, Hans-Peter Kriegel, Arthur Zimek, 2010, DASFAA.

Introduction to Special Issue of the 9th International Conference on Similarity Search and Applications (SISAP 2016)

Laurent Amsaleg, Michael E. Houle, Erich Schubert, 2019, Inf. Syst..

Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning

Albrecht Zimmermann, Erich Schubert, Arthur Zimek, 2020, Big Data.

Fast and Scalable Outlier Detection with Approximate Nearest Neighbor Ensembles

Hans-Peter Kriegel, Arthur Zimek, Erich Schubert, 2015, DASFAA.

SigniTrend: scalable detection of emerging topics in textual streams by hashed significance thresholds

Hans-Peter Kriegel, Erich Schubert, Michael Weiler, 2014, KDD.

ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series

Elke Achtert, Hans-Peter Kriegel, Arthur Zimek, 2009, SSTD.

Structure-Preserving Difference Search for XML Documents Structure-Preserving Difference Search for XML Documents

François Bry, Erich Schubert, Sebastian Schaffert, 2005 .

The Relationship of DBSCAN to Matrix Factorization and Spectral Clustering

Katharina Morik, Erich Schubert, Sibylle Hess, 2018, LWDA.

Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2009, PAKDD.

BETULA: Numerically Stable CF-Trees for BIRCH Clustering pdf

Erich Schubert, Andreas Lang, 2020, SISAP.

Fast and Eager k-Medoids Clustering: O(k) Runtime Improvement of the PAM, CLARA, and CLARANS Algorithms.

Peter J. Rousseeuw, Erich Schubert, 2020 .

On the Correlation Between Local Intrinsic Dimensionality and Outlierness

Arthur Zimek, Michael E. Houle, Erich Schubert, 2018, SISAP.

Interactive data mining with 3D-parallel-coordinate-trees

Elke Achtert, Hans-Peter Kriegel, Arthur Zimek, 2013, SIGMOD '13.

Interpreting and Unifying Outlier Scores

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2011, SDM.

A Framework for Clustering Uncertain Data

Arthur Zimek, Andreas Züfle, Tobias Emrich, 2015, Proc. VLDB Endow..

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2010, 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010).

Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning

Albrecht Zimmermann, Erich Schubert, Arthur Zimek, 2020, Big Data.

Outlier Detection

Arthur Zimek, Erich Schubert, 2018, Encyclopedia of Database Systems.

Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection

Hans-Peter Kriegel, Arthur Zimek, Erich Schubert, 2012, Data Mining and Knowledge Discovery.

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)

Arthur Zimek, Albrecht Zimmermann, Erich Schubert, 2019 .

A survey on unsupervised outlier detection in high‐dimensional numerical data

Hans-Peter Kriegel, Arthur Zimek, Erich Schubert, 2012, Stat. Anal. Data Min..

Good and Bad Neighborhood Approximations for Outlier Detection Ensembles

Arthur Zimek, Erich Schubert, Evelyn Kirner, 2017, SISAP.

Discriminative features for identifying and interpreting outliers

Arthur Zimek, Ira Assent, Raymond T. Ng, 2014, 2014 IEEE 30th International Conference on Data Engineering.

Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning

Albrecht Zimmermann, Erich Schubert, Arthur Zimek, 2020, Big Data.

Fast Reverse Geocoder using OpenStreetMap data

Erich Schubert, OpenStreetMap Mitwirkende, 2015 .

Exploring Significant Interactions in Live News

Andreas Spitz, Michael Gertz, Erich Schubert, 2018, NewsIR@ECIR.

Dimensional Testing for Reverse k-Nearest Neighbor Search

Peer Kröger, Arthur Zimek, Michael E. Houle, 2017, Proc. VLDB Endow..

LoOP: local outlier probabilities

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2009, CIKM.

Outlier Detection and Trend Detection: Two Sides of the Same Coin

Arthur Zimek, Erich Schubert, Michael Weiler, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

Structure-Preserving Difference Search for XML Documents

François Bry, Erich Schubert, Sebastian Schaffert, 2005, Extreme Markup Languages®.

Hans-Peter Kriegel, Peer Kröger, Arthur Zimek, 2011, SSTD.

On Evaluation of Outlier Rankings and Outlier Scores

Hans-Peter Kriegel, Arthur Zimek, Erich Schubert, 2012, SDM.

MESS: Manifold Embedding Motivated Super Sampling

Erik Thordsen, Erich Schubert, 2021, SISAP.

CANDLE: Classification And Noise Detection With Local Embedding Approximations

Erik Thordsen, Erich Schubert, 2021, LWDA.

HACAM: Hierarchical Agglomerative Clustering Around Medoids - and its Limitations

Erich Schubert, 2021, LWDA.

Fast and Eager k-Medoids Clustering: O(k) Runtime Improvement of the PAM, CLARA, and CLARANS Algorithms

Peter J. Rousseeuw, Erich Schubert, P. Rousseeuw, 2020, Inf. Syst..

A Triangle Inequality for Cosine Similarity pdf

Erich Schubert, Erich Schubert, 2021, SISAP.

Accelerating Spherical k-Means pdf

Erich Schubert, Gloria Feher, Andreas Lang, 2021, SISAP.

EmbAssi: Embedding Assignment Costs for Similarity Search in Large Graph Databases pdf

Nils M. Kriege, Erich Schubert, Franka Bause, 2021, ArXiv.

Metric Indexing for Graph Similarity Search

Nils M. Kriege, David B. Blumenthal, Erich Schubert, 2021, SISAP.

Scalable Detection of Emerging Topics and Geo-spatial Events in Large Textual Streams

Hans-Peter Kriegel, Erich Schubert, H. Kriegel, 2016 .

On the Evaluation of Outlier Detection: Measures, Datasets, and an Empirical Study Continued

Arthur Zimek, Ira Assent, Ricardo J. G. B. Campello, 2016 .