The topics of interest for submission include, but are not limited to:
Topics
Track 1: Foundations and Theory of Intelligent Computing
Intelligent Computing Theory
Evolutionary Computation and Learning
Swarm Intelligence and Optimization
Neural Network Theory
Fuzzy Theory and Algorithms
Natural and Quantum Computing
Independent Component Analysis
Pervasive Computing Techniques
Intelligent System Evaluation
Track 2: Data Mining Methods and Algorithms
Foundations of Data Mining Methods
Classification and Clustering Methods
Association Rule Mining
Web and Graph Mining
Temporal Data Mining
Text and Multimedia Mining
Scalable Data Preprocessing
High-Performance Mining Algorithms
Parallel and Distributed Algorithms
Track 3: Machine Learning and Intelligent Analytics
Machine Learning Methods
Deep Learning Methods
Reinforcement Learning Methods
Federated Learning Methods
Natural Language Processing
Explainable Machine Learning
Intelligent Data Analysis and Prediction
Anomaly Detection Methods
Intelligent Decision Analytics
Track 4: Big Data and Knowledge Discovery
Big Data Analytics
Big Data Computing Architectures
Data Stream Mining
Large-Scale Data Mining Methods
Data Quality and Fusion Techniques
Knowledge Discovery Methods
Knowledge Graph Construction
Data Visualization Analytics
Intelligent Data Management
Track 5: Data Security, Privacy and Trusted Computing
Data Security Mechanisms
Data Privacy Protection
Differential Privacy Techniques
Data Encryption Methods
Secure Data Sharing
Blockchain Data Management
Trusted Data Mining
Algorithmic Fairness
Data Governance Methods
Track 6: Applications of Intelligent Computing and Data Mining
Smart City Applications
Intelligent Healthcare Applications
Financial Data Analysis
Industrial Intelligence Applications
Social Network Analysis
Intelligent Recommendation Systems
Intelligent Control and Automation
E-commerce Mining Systems
Future Application Challenges