(The following topics include but are not limited to)
Track 1: Big Data
Big Data Open Platform
Algorithms and Systems for Big Data Search
Distributed and Peer-to-Peer Search
Machine Learning Based on Big Data
Big Data Visualization Analysis, Big Data Encryption
Link and Graph Mining
Data Science Models and Methods
Big Data and Deep Learning
Big Data and High-Performance Computing
IoT Big Data Applications
Big Data Privacy and Security, etc.
Track 2: Data Mining Statistics
Machine Learning
Database Management Data visualization
Artificial Intelligence
Information Retrieval
Statistical Learning Theory
Mathematical Optimization
Natural Language Processing
Knowledge Discovery
Pattern Recognition
Graph Mining
Time Series Analysis
Anomaly Detection
Causal Inference Data visualization
Privacy protection mining
Automated feature engineering Knowledge Graph
Causal discovery
Data stream mining
Track 3: Intelligent computing
Cybersecurity
Wireless communication security
Network threat detection
Security data analysis
Blockchain security
Privacy protection learning
Trustworthy artificial intelligence
Data integrity protection
Secure cloud computing
Federated learning
Robust trustworthy artificial intelligence ……