(covering but not limited to the following topics)
Track 1: Intelligent Computing
Genetic Algorithms
Evolutionary Computation and Learning
Swarm Intelligence and Optimization
Independent Component Analysis
Natural Computing, Quantum Computing Neural Network
Fuzzy theory and algorithms
Ubiquitous computing
Machine learning, deep learning
Natural language processing
Intelligent control and automation
Intelligent data fusion
Intelligent data analysis and prediction, etc.
Track 2: Data mining
Network mining, data stream mining
Parallel and distributed algorithms
Graph and subgraph mining
Large-scale data mining methods
Text, video and multimedia data mining
Scalable data preprocessing
High-performance data mining algorithms
Data security and privacy
E-commerce data mining system
Track 3: Information science
Compilation and runtime systems
Parallel and distributed processing tools
Data engineering
Search processing
Intermediate software, software engineering
Computational security
Artificial intelligence Data compression
Fault-tolerant functions of parallel and distributed systems
Image/signal processing
Programming languages
Information/network security
Computer applications
Deep memory hierarchy structure
Data mining
High-performance, cloud computing and network computing
Information systems
Theory and models
Wireless and mobile computing