Big Data Analytics and Knowledge Discovery

.- Invited Paper.
 
.- Finding Prominent Clusters in VAT Family of Algorithms. 

.- Responsible AI & Learning 

.- BALM: Bias-Aware Generation for Large Language Models. 
.- FAIRTOPIA: A Multi-Agent Guardianship Framework for Disrupting Unfair AI Pipelines.
.- ACAT: A Collaborative Platform for Efficient Aspect-Based Sentiment Dataset Annotation.
.- Calibration improves detection of mislabeled examples. 
.- Q-Matrix Learning Based on Graph Attention Neural Network for Knowledge Tracing. 
.- Q-dEclat: A Vertical Quantitative Frequent Pattern Mining Algorithm.

.- Data Lakes & Lakehouses.
 
.- Hybrid Table Annotation in Data Lakes. 
.- Context-aware Data Quality Management in Data Lakes.
.- Discovering Relationships in Data Lakes Using Large Language Models: An Industrial Case.
.- LLM-Assisted Metadata Query Answering on Data Warehouses.
.- SmartIngest: A Unified Framework for Adaptive Data Ingestion and Management in Lakehouse Architectures.

.- Time Series & Machine Learning.

.- MoE-TFT: Mixture-of-Experts Enhanced Temporal Fusion Transformer for Time Series Forecasting.
.- CODA: A Coordinate-Driven Autoencoder for Robust Multivariate Time Series Anomaly Detection.
.- Topologically-Constrained Any-Variate Time-Series Foundation Models for Twinning of Continuous Industrial Processes.
.- ConvTransAKD: Multi-Level Wasserstein Alignment for Efficient Knowledge Distillation in Sensor-Based Activity Recognition.
.- ANNOYing HDBSCAN for clustering.
.- Evaluating Time-Dependent Risk Trajectories through Class–Cluster Alignment.

.- Data Integration & Quality.

.- KAN-ER: Kolmogorov-Arnold Networks-based Entity Resolution in Data Lakes.
.- Leveraging Tattoo Description Classification in Historical Record Linkage.
.- ASOS-CRM: Automated Semantic Scoping for CIDOC CRM Population.
.- Relational Database Data Lineage Ontology.
.- Data Profiling for Change Rules.
.- Causally-constrained Power Indices: Predicate Attribution for Aggregate Query Explanations.

.- Database & Graph Systems.

.- Database Tuning via Distributional Reinforcement Learning for Hybrid Transactional/Analytical Processing Workload.
.- How Good are Learned and Hybrid Join Order Strategies from Energy Perspective.
.- GPU-Accelerated Dependency Graph Construction and Conflict Analysis for Preventing Read-Only Anomalies.
.- Evaluating Sustainability in Graph Intelligence.
.- A Verifiable Query Processing for Distributed Property Graphs.