Data Mining

Research Track.- Measuring Content Preservation in Textual Style Transfer.- A Temperature-Modified Dynamic Embedded Topic Model.- Measuring Difficulty of Learning using Ensembles Methods.- Graph Embeddings for Non-IID Data Feature Representation Learning.- Enhancing Understandability of Omics Data with SHAP, Embedding Projections and Interactive Visualisations.- WinDrift: Early Detction of Concept Drift through the use of Corresponding and Hierarchical Time Windows.- Investigation of Explainability Techniques for Multimodal Transformers.- Effective Imbalance Learning Utilizing Informative Data.- Interpretable Decision Tree via Human-In-The-Loop-Learning.- Application Track.- A Comparative Look at the Resilience of Discriminative and Generative Classifiers to Missing Data in Longitudinal Datasets.- Hierarchical Topic Model Inference by Community Discovery on Word Co-Occurrence Networks.- UMLS-Based Question-Answering Approach for Automatic Initial Frailty Assessment.- Natural Language Query For Technical Knowledge Graph Navigation.- Decomposition of Service Level Encoding for Anomaly Detcion.- Improving Ads-Profitability Using Traffic Fingerprints.- Attractiveness Analysis for Health Claims on Food Packages.- SchedmaDB: A Dataset for Structures in Relational Data.