(Include but not limited to)
Track 1: Data Science Theory and Machine Learning Algorithms
Mathematics, Probability and Statistical Models and Theories
Machine Learning Theory, Models and Systems
Knowledge Discovery Theory, Models and Systems
Deep Learning and Reinforcement Learning
Manifold Learning and Metric Learning
Scalable Analysis and Learning
Non-IID Learning
Data Preprocessing, Sampling and Dimensionality Reduction
Feature Selection, Feature Transformation and Feature Construction
Large-scale Optimization
High-performance Computing for Data Analysis
The Architecture, Management and Process of Data Science
Interpretable AI and Trustworthy Data Analysis
Applications of Neural Symbolic Methods in Large-scale Data
Causal Inference and Predictive Analysis
Track 2: Big Data Mining Methods and Knowledge Discovery
Data Mining Algorithms (Classification, Clustering, Association Rules, Anomaly Detection)
Large-scale Graph Data Mining and Social Network Analysis
Spatial Data Mining and Trajectory Data Analysis
Multi-source Heterogeneous Data Fusion and Cross-domain Analysis
Stream Data Mining and Online Learning Algorithms
Causal Discovery and Causal Inference Methods
Knowledge Discovery and Knowledge Graph Construction
Semantic Computing and Knowledge Representation Learning
Text Mining and Natural Language Processing
Multimedia Data Mining and Cross-modal Analysis
Interpretable Data Mining and Knowledge Visualization
Privacy Protection and Ethics in Data Mining
Scalability and Efficiency Optimization of Mining Algorithms
Weak Supervision, Semi-supervision and Self-supervision Mining Methods
Track 3: AI-driven Big Data Analysis and Cross-Applications
Machine Learning and Deep Learning-driven Data Mining
Large Language Models (LLMs) and Knowledge Graph Fusion
Generative AI and Data Augmentation, Data Synthesis Techniques
Federated Learning and Privacy-Preserving Distributed Data Mining
Applications of Data-driven Decision Making in Reinforcement Learning
Data-driven Intelligent Decision Support Systems
Business Intelligence and Big Data Marketing Analysis
Financial Big Data Analysis and Risk Mining
Medical Health Big Data Mining and Precision Medicine
Industrial Big Data Mining and Intelligent Manufacturing
Smart Cities and City Big Data Analysis
Social Computing and Computational Social Sciences
AI and Knowledge Discovery in Scientific Discoveries
Data Visualization and Visual Analysis Techniques
......