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

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

Summer term 2025

051062 LP Practical Software Course with Bachelor's Thesis
051080 LP Practical Software Course with Bachelor's Thesis
052300 VU Foundations of Data Analysis
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

Kraljevska, M, Hlavackova-Schindler, K, Miklautz, L & Plant, C 2026, 'EEG-based classification in psychiatry using motif discovery', Neuroscience Informatics, vol. 6, pp. 100242. https://doi.org/10.1016/j.neuri.2025.100242

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

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

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/>

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/>

Sadikaj, Y, Zhou, H, Halilaj, L, Schmid, S, Staab, S & Plant, C 2025, 'MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning', CoRR, vol. abs/25. <http://eprints.cs.univie.ac.at/8412/>

Atria, CE , Cai, Y , Weber, P, Beer, A, Kriege, NM , Böhm, C , Revilla Domingo, R & Plant, C 2025, 'sc-GRIP: a Graph Convolutional Approach to Infer Gene Interaction Polarity from Single-cell Data', Paper presented at International Conference on Data Mining, Washington DC, United States, 12/11/25 - 15/11/25.

Durani, W, Nitzl, T, Plant, C & Böhm, C 2025, 'Weakly Supervised Anomaly Detection via Dual-Tailed Kernel.'. <https://dblp.org/rec/conf/icml/DuraniNP025>

Dolezal, D , Velaj, Y, Spreitzer, L & Plant, C 2024, Fostering Agile IT Project Management and Interpersonal Skills Using AI-Enhanced Game-Based Learning. in 2024 IEEE Frontiers in Education Conference (FIE). pp. 1-9, 2024 IEEE Frontiers in Education Conference (FIE), Washington, DC, Washington, United States, 13/10/24. <http://eprints.cs.univie.ac.at/8218/>

Beer, A, Weber, P, Miklautz, L, Leiber, C, Durani, W, Böhm, C & Plant, C 2024 'SHADE: Deep Density-based Clustering' arXiv. https://doi.org/10.48550/ARXIV.2410.06265

Bakumenko, A, Hlavackova-Schindler, K , Plant, C & Hubig, N 2024 'Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs' arXiv. <http://eprints.cs.univie.ac.at/8098/>

Dolog, P, Sadikaj, Y , Velaj, Y, Stephan, A, Roth, B & Plant, C 2024, The Impact of Cluster Centroid and Text Review Embeddings on Recommendation Methods. in T-S Chua & C-W Ngo (eds), WWW '24: Companion Proceedings of the ACM Web Conference 2024. ACM, New York, pp. 589-592. https://doi.org/10.1145/3589335.3651570

Projects

Clustering of Smart-Meter Data

Velaj, Y. (Project Lead) & Plant, C. (Co-Lead)

1/01/24 → 31/12/26

Project: Research cooperation

Learning Synchronization Patterns in Neural Signal

Plant, C. (Project Lead) & Schindlerova, K. (Co-Lead)

1/10/21 → 30/09/24

Project: Research funding

Hybrid Computational Sciences

Grohs, P. (Project Lead), Scherzer, O. (Co-Lead), Plant, C. (Co-Lead), Dellago, C. (Co-Lead), Wöhrer, A. (Co-Lead), Kunisch, K. (Co-Lead), Ramlau, R. (Co-Lead) & von Haeseler, A. (Co-Lead)

16/08/21 → 31/12/21

Project: Research funding