Data Mining and Machine Learning

Univ.-Prof. Dipl.-Inform.Univ. Dr. Claudia Plant

Research Group Data Mining and Machine Learning

Head

Währinger Straße 29
1090 Wien
Room : 3.38

T: +43-1-4277-79510

claudia.plant(at)univie.ac.at

u:cris portal

Courses

Winter term 2026

051080 LP Practical Software Course with Bachelor's Thesis
052300 VU Foundations of Data Analysis
052311 VU Data Mining
053021 LP Practical Course: Computer Science 1
053031 LP Practical Course: Computer Science 2
053049 SE Master Seminar
500501 SE Doctoral Research Seminar - Data and Knowledge

Summer term 2026

051080 LP Practical Software Course with Bachelor's Thesis
052300 VU Foundations of Data Analysis
052321 VU Recent Developments in Knowledge Discovery in Databases
053021 LP Practical Course: Computer Science 1
053031 LP Practical Course: Computer Science 2
053049 SE Master Seminar
500501 SE Doctoral Research Seminar - Data and Knowledge

Publications

Wöß, R, Hlaváčková-Schindler, K, Schicker, I, Papazek, P & Plant, C 2026, 'The spatio-temporal visualization tool HMMLVis in renewable energy applications', Geoscientific Model Development, vol. 19, no. 6, pp. 2385-2405. https://doi.org/10.5194/gmd-19-2385-2026

Kraljevska, M, Hlavackova-Schindler, K, Miklautz, L & Plant, C 2026, 'EEG-based classification in psychiatry using motif discovery', Neuroscience Informatics, vol. 6, no. 1, 100242. https://doi.org/10.1016/j.neuri.2025.100242

Hlaváčková-Schindler, K, Wöss, R, Schicker, I & Plant, C 2026, 'Which meteorological parameters influence extreme wind speed in a wind farm? A heterogeneous Granger causality approach', Environmental Data Science, vol. 5, e3, pp. 1-42. https://doi.org/10.1017/eds.2026.10031

Bauer, L , Ebrahim, PESF, Weber, P, Beer, A, Böhm, C , Velaj, Y & Plant, C 2026, Deep Synchronisation-based Clustering. in The 26th IEEE International Conference on Data Mining (ICDM 2026), 12- 15 November, 2026, in Shenyang, Liaoning, China. IEEE, 26th IEEE International Conference on Data Mining, Shenyang, China, 12/11/26.

Klein, T , Lang, T , Shkabrii, A , Sturm, A , Sidak, K, Miklautz, L, Plant, C , Velaj, Y & Tschiatschek, S 2026, Understanding and improving hyperbolic deep reinforcement learning. in The 14th International Conference on Learning Representations (ICLR 2026), Rio de Janeiro, Brazil, 23-27 April, 2026. pp. 92200-92235, ICLR 2026, Rio de Janeiro, Brazil, 23/04/26. https://doi.org/https://arxiv.org/pdf/2512.14202

Draganov, A, Weber, P, Jørgensen, RH, Beer, A, Plant, C & Assent, I 2025, 'Ultrametric Cluster Hierarchies: I Want ‘em All!', Paper presented at 39th Conference on Neural Information Processing Systems, San Diego, United States, 1/12/25 - 7/12/25.

Beer, A, Kuznetsova, E & Plant, C 2025, Parameter Selection for DBSCAN: Insights from Persistent Homology. in I Lynce, N Murano, M Vallati, S Villata, F Chesani, M Milano, A Omicini & M Dastani (eds), ECAI 2025 : 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy – Including 14th Conference on Prestigious Applications of Intelligent Systems (PAIS 2025). vol. 413, IOS Press, Frontiers in Artificial Intelligence and Applications, pp. 3250-3257. https://doi.org/10.3233/FAIA251192

Miklautz, L, Klein, T , Sidak, K, Leiber, C, Lang, T , Shkabrii, A , Tschiatschek, S & Plant, C 2025, 'Breaking the Reclustering Barrier in Centroid-based Deep Clustering', The Thirteenth International Conference on Learning Representations, 24/04/25. https://doi.org/https://proceedings.iclr.cc/paper_files/paper/2025/file/f91685b940d5032f0f0c247edbd72edd-Paper-Conference.pdf

Yüksel-Arslan, P , Plant, C & Kayali, F 2025, 'Empowering marginalized communities through the digital transformation course', Frontiers in Education, vol. 10, 1534104. https://doi.org/10.3389/feduc.2025.1534104

Hlavackova-Schindler, K, Hoxhallari, K, Morales, LC, Schicker, I & Plant, C 2025, Causal discovery among wind-related variables in a wind farm under extreme wind speed scenarios: Comparison of results using Granger causality and interactive k-means clustering. https://doi.org/10.5194/egusphere-egu24-6584

Chen, Z, Wu, Z, Sadikaj, Y , Plant, C, Dai, H-N, Wang, S, Cheung, Y-M & Guo, W 2025, 'ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks', IEEE Transactions on Knowledge & Data Engineering, vol. 37, no. 9, pp. 4948-4961. https://doi.org/10.1109/TKDE.2025.3586369

Bakumenko, A, Hlavácková-Schindler, K , Plant, C & Hubig, NC 2025, 'Advancing Anomaly Detection: Non-Semantic Financial Data Encoding With Large Language Models.', IEEE Access, vol. 13, pp. 146757-146771. https://doi.org/10.1109/ACCESS.2025.3600967

Leiber, C, Miklautz, L, Plant, C & Böhm, C 2025, 'An Introductory Survey to Autoencoder-based Deep Clustering - Sandboxes for Combining Clustering with Deep Learning', CoRR, vol. abs/25. <http://eprints.cs.univie.ac.at/8417/>

Guo, W, Ye, W, Chen, C, Sun, X, Böhm, C , Plant, C & Rahardja, S 2025, 'Bootstrap Deep Spectral Clustering with Optimal Transport', IEEE Transactions on Multimedia. <http://eprints.cs.univie.ac.at/8642/>

Sadikaj, Y , Velaj, Y & Plant, C 2025, Contrastive Joint Embedding of Attributed Multiplex Networks. in W Ding, J Vreeken, C-T Lu, D Gunopulos & X Wu (eds), 2025 IEEE International Conference on Data Mining (ICDM), Washington DC, DC, USA , 12-15 November. IEEE, pp. 1525-1534, International Conference on Data Mining, Washington DC, United States, 12/11/25. https://doi.org/10.1109/ICDM65498.2025.00162

Durani, W, Mautz, D, Plant, C & Böhm, C 2025, DMDHC: Discovery of Multi-Density Hierarchical Cluster Structures. in V Papalexakis, M Riondato, E Zheleva, T Weninger & W Ding (eds), Proceedings of the 2025 SIAM International Conference on Data Mining (SDM). Society for Industrial and Applied Mathematics, pp. 261-269. https://doi.org/10.1137/1.9781611978520.25

Miklautz, L, Shi, C, Shkabrii, A, Davarakis, T-T, Lam, P, Plant, C, Dy, JG & Ioannidis, S 2025, H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition. https://doi.org/10.48550/ARXIV.2510.20627

Beer, A, Krieger, L, Weber, P, Ritzert, M, Assent, I & Plant, C 2025 'Internal Evaluation of Density-Based Clusterings with Noise' CoRR, vol. abs/25. https://doi.org/10.48550/arXiv.2503.00127

Draganov, A, Weber, P, Skibdahl, R, Beer, A, Plant, C & Assent, I 2025 'I Want 'Em All (At Once) - Ultrametric Cluster Hierarchies' CoRR, vol. abs/25. https://doi.org/10.48550/arXiv.2502.14018

Kraljevska, M, Hlavackova-Schindler, K, Miklautz, L & Plant, C 2025, 'Motif Discovery Framework for Psychiatric EEG Data Classification', CoRR, vol. abs/25. <http://eprints.cs.univie.ac.at/8414/>

Projects

Clustering of Smart-Meter Data

Velaj, Yllka (Project Lead), Plant, Claudia (Co-Lead)

01/01/2024 31/12/2026

Active

Learning Synchronization Patterns in Neural Signal

Plant, Claudia (Project Lead), Schindlerova, Katerina (Co-Lead)

01/10/2021 30/09/2024

Finished

Hybrid Computational Sciences

Grohs, Philipp (Project Lead), Scherzer, Otmar (Co-Lead), Plant, Claudia (Co-Lead), Dellago, Christoph (Co-Lead), Wöhrer, Adelheid (Co-Lead), Kunisch, Karl (Co-Lead), Ramlau, Ronny (Co-Lead), von Haeseler, Arndt (Co-Lead)

16/08/2021 31/12/2021

Finished