(The following topics include but are not limited to)
Track 1: Data Mining
Big Data Analysis
Knowledge Discovery, Causal Discovery
Pattern Recognition, Graph Mining
Time Series Analysis
Anomaly Detection, Causal Inference
Data Visualization
Privacy-Preserving Mining
Automated Feature Engineering
Knowledge Graph
Data Stream Mining
Track 2: High-Performance Computing
Parallel and Distributed System Architecture
High-Performance Computing Languages and Compilers
Parallel and Distributed Software Technology
Parallel and Distributed Algorithms
Embedded Systems
Computational Intelligence
Peer-to-Peer Computing, Grid and Cluster Computing
Web Services and Internet Computing
Cloud Computing, Utility Computing
Performance Evaluation and Measurement
Tools and Environments for Software Development
Distributed Systems and Applications
High-Performance Scientific and Engineering Computing
Database Applications and Data Mining
Biological/Molecular Computing
Collaboration and Cooperative Environments
Mobile Computing and Wireless Communication
Computer Networks
Trust, Security and Privacy
Track 3: Distributed Processing
Compilation and Execution Systems
Parallel and Distributed Processing Tools
Data Engineering, Retrieval Processing
Intermediate Software, Software Engineering
Computational Security, Artificial Intelligence, Data Compression
Fault Tolerance Functions of Parallel and Distributed Systems
Image/Signal Processing
Programming Languages
Information/Security and Network Security
Computer Applications
Deep Memory Hierarchy Structure
Theories and Models
Wireless and Mobile Computing ......