Anna Beer

According to our database, Anna Beer authored at least 31 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

SHADE: Deep Density-based Clustering.

Anna Beer, Pascal Weber, Lukas Miklautz, Collin Leiber, Walid Durani, Christian Böhm, Claudia Plant

CoRR, 2024

Temporal Subspace Clustering for Molecular Dynamics Data.

Anna Beer, Martin Heinrigs, Claudia Plant, Ira Assent

CoRR, 2024

Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms.

Philipp Jahn, Christian M. M. Frey, Anna Beer, Collin Leiber, Thomas Seidl

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

FALCUN: A Simple and Efficient Deep Active Learning Strategy.

Sandra Gilhuber, Anna Beer, Yunpu Ma, Thomas Seidl

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

DROPP: Structure-Aware PCA for Ordered Data: A General Method and its Applications in Climate Research and Molecular Dynamics.

Anna Beer, Olivér Palotás, Andrea Maldonado, Andrew Draganov, Ira Assent

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study.

Theresa Ullmann, Anna Beer, Maximilian Hünemörder, Thomas Seidl, Anne-Laure Boulesteix

Adv. Data Anal. Classif., March, 2023

Connecting the Dots - Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering.

Anna Beer, Andrew Draganov, Ellen Hohma, Philipp Jahn, Christian M. M. Frey, Ira Assent

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

SCAR - Spectral Clustering Accelerated and Robustified.

Ellen Hohma, Christian M. M. Frey, Anna Beer, Thomas Seidl

Proc. VLDB Endow., 2022

2021

On the edges of clustering: creating synergies with related problems.

Anna Beer

PhD thesis, 2021

AnyCORE - An Anytime Algorithm for Cluster Outlier REmoval.

Andreas Lohrer, Anna Beer, Maximilian Archimedes Xaver Hünemörder, Jenny Lauterbach, Thomas Seidl, Peer Kröger

Proceedings of the LWDA 2021 Workshops: FGWM, 2021

LUCKe - Connecting Clustering and Correlation Clustering.

Anna Beer, Lisa Stephan, Thomas Seidl

Proceedings of the 2021 International Conference on Data Mining, 2021

KISS - A fast kNN-based Importance Score for Subspaces.

Anna Beer, Ekaterina Allerborn, Valentin Hartmann, Thomas Seidl

Proceedings of the 24th International Conference on Extending Database Technology, 2021

Compound Segmentation via Clustering on Mol2Vec-based Embeddings.

Daniyal Kazempour, Anna Beer, Melanie Oelker, Peer Kröger, Thomas Seidl

Proceedings of the 17th IEEE International Conference on eScience, 2021

Cluster Flow - an Advanced Concept for Ensemble-Enabling, Interactive Clustering.

Sandra Obermeier, Anna Beer, Florian Wahl, Thomas Seidl

Proceedings of the Datenbanksysteme für Business, 2021

2020

Orderings of Data - More Than a Tripping Hazard: Visionary.

Anna Beer, Valentin Hartmann, Thomas Seidl

Proceedings of the SSDBM 2020: 32nd International Conference on Scientific and Statistical Database Management, 2020

Angle-Based Clustering.

Anna Beer, Dominik Seeholzer, Nadine Sarah Schüler, Thomas Seidl

Proceedings of the Similarity Search and Applications - 13th International Conference, 2020

Grace - Limiting the Number of Grid Cells for Clustering High-Dimensional Data.

Anna Beer, Daniyal Kazempour, Julian Busch, Alexander Tekles, Thomas Seidl

Proceedings of the Conference "Lernen, 2020

I fold you so! An internal evaluation measure for arbitrary oriented subspace clustering.

Daniyal Kazempour, Anna Beer, Peer Kröger, Thomas Seidl

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019

Chain-detection Between Clusters.

Janis Held, Anna Beer, Thomas Seidl

Datenbank-Spektrum, 2019

LUCK- Linear Correlation Clustering Using Cluster Algorithms and a kNN based Distance Function.

Anna Beer, Daniyal Kazempour, Lisa Stephan, Thomas Seidl

Proceedings of the 31st International Conference on Scientific and Statistical Database Management, 2019

Graph Ordering and Clustering: A Circular Approach.

Anna Beer, Thomas Seidl

Proceedings of the 31st International Conference on Scientific and Statistical Database Management, 2019

MORe++: k-Means Based Outlier Removal on High-Dimensional Data.

Anna Beer, Jennifer Lauterbach, Thomas Seidl

Proceedings of the Similarity Search and Applications - 12th International Conference, 2019

Clustering Trend Data Time-Series through Segmentation of FFT-decomposed Signal Constituents.

Daniyal Kazempour, Anna Beer, Oliver Schrüfer, Thomas Seidl

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

CODEC - Detecting Linear Correlations in Dense Clusters using coMAD-based PCA.

Maximilian Archimedes Xaver Hünemörder, Anna Beer, Daniyal Kazempour, Thomas Seidl

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

A Generator for Subspace Clusters.

Anna Beer, Nadine Sarah Schüler, Thomas Seidl

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

Data on RAILs: On Interactive Generation of Artificial Linear Correlated Data.

Daniyal Kazempour, Anna Beer, Thomas Seidl

Proceedings of the HCI International 2019 - Posters - 21st International Conference, 2019

Human Learning in Data Science.

Anna Beer, Daniyal Kazempour, Marcel Baur, Thomas Seidl

Proceedings of the HCI International 2019 - Posters - 21st International Conference, 2019

Rock - Let the points roam to their clusters themselves.

Anna Beer, Daniyal Kazempour, Thomas Seidl

Proceedings of the Advances in Database Technology, 2019

Chain-detection for DBSCAN.

Janis Held, Anna Beer, Thomas Seidl

Proceedings of the Datenbanksysteme für Business, 2019

2018

PARADISO: an interactive approach of parameter selection for the mean shift algorithm.

Daniyal Kazempour, Anna Beer, Johannes-Y. Lohrer, Daniel Kaltenthaler, Thomas Seidl

Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018

FATBIRD: A Tool for Flight and Trajectories Analyses of Birds.

Daniyal Kazempour, Anna Beer, Friederike Herzog, Daniel Kaltenthaler, Johannes-Y. Lohrer, Thomas Seidl

Proceedings of the 14th IEEE International Conference on e-Science, 2018