• Big Data Algorithms , Applications , Fundamentals
• Big Data Management and Frameworks
• Big Data Search, Big Data Security
• Bioinformatics and Biometrics
• Consistent Data Model
• Data and Knowledge Representation
• Data Streams Mining
• Graph Mining
• Spatial Data Mining
• Temporal and Time‑Series Mining
• Databases , Vector Databases
• Approximate Nearest Neighbor Search
• High‑Dimensional Indexing
• Deep Learning
• Foundation Models for Data Science
• Domain‑Specific Foundation Models
• Cross‑Modal Foundation Models
• Generative AI for Data Mining
• Synthetic Data Generation
• Generative Feature Engineering
• Exploring Data Analysis
• Financial Modeling
• Forecasting, Classification, Clustering
• Image Analysis
• Inference, Prediction and Knowledge Consolidation
• Causal Inference, Discovery
• Counterfactual Modeling
• Graph Neural Networks
• Graph Representation Learning
• Graph Foundation Models
• Multimodal Learning
• Cross‑Modal Retrieval
• Unified Multimodal Embeddings
• AutoML
• Automated Feature Engineering
• Pipeline Optimization
• Responsible AI
• Fairness in Data Science
• Bias Detection and Mitigation
• Federated Learning
• Privacy‑Preserving Data Mining
• Secure Multi‑Party Computation
• Real‑Time Streaming Analytics
• Event‑Driven Data Processing
• High‑Velocity Data Pipelines
• Knowledge Graphs , KG Embeddings , KG‑Driven Reasoning
• Edge‑AI
• On‑Device Data Processing
• TinyML for Data Science
• Cybersecurity Data Science
• Threat Intelligence Mining
• Anomaly Detection at Scale
• Explainable AI
• Interpretable Models
• Transparent Data Mining
• Learning in Knowledge‑Intensive Systems
• Learning Problems
• Machine Learning Applications
• Mining from Low‑Quality Information Sources
• Mining Trends, Opportunities and Risks
• OLAP and Data Mining
• Parallel and Distributed Data Mining Algorithms
• Pre‑Processing Techniques and Visualization
• Security and Information Hiding in Data Mining
• Social Networks Mining
• Educational Data Mining
• Text, Video, Multimedia Data Mining
• Web Mining
• RAG‑Driven Data Mining
• RAG‑Enhanced Analytics Pipelines
• RAG for Enterprise Data Systems
• LLM Benchmarking and Evaluation
• Dataset Design for LLMs
• LLM Robustness Testing
• Autonomous Systems Data Analytics
• Sensor Fusion for Autonomous Systems
• Real‑Time Decision Intelligence
• Climate Data Science
• Environmental Modeling
• ESG Analytics
• Precision Medicine Analytics
• Clinical Decision Support Models
• Medical Foundation Models
• Robotics Data Science
• Human‑Robot Interaction Analytics
• Robot Learning from Data
• Smart City Data Science
• Urban Computing
• Large‑Scale Sensor Analytics
• Digital Twin Analytics
• Twin‑Driven Prediction Models
• Twin‑Based Simulation Data Mining
• Edge‑Cloud Collaborative Analytics
• Distributed Model Serving
• Latency‑Aware Data Processing
• Blockchain Data Analytics
• Web3 Data Mining
• Smart Contract Data Analysis
• Quantum Data Science
• Quantum Machine Learning
• Hybrid Quantum‑Classical Analytics

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC digital library.