(Topics include but are not limited to)
Big data storage architecture and integrated technology of data lake/lake warehouse
Optimization of Distributed Computing Framework
Stream computing and real-time data processing system
Distributed Database and Data Consistency Protocol
Data mining algorithms (classification, clustering, association rules)
Graph Data Mining and Knowledge Graph Reasoning
Time series analysis and prediction
Text Mining and Natural Language Processing
Anomaly detection and high-dimensional data mining
Federated Learning and Privacy Protection Data Mining
Distributed Machine Learning Platform and Algorithms
Data Visualization and Interactive Analysis
Big data governance and metadata management
Data Quality Assessment and Cleaning Methods
Cloud computing resource scheduling and elastic scaling
Edge computing and Distributed Data Preprocessing
Big data benchmarking and performance evaluation
The Application of Data Mining in Recommendation Systems
Social network analysis and influence dissemination
The Application of Big Data in Smart Cities
Distributed Graph Processing System
Data Compression and Efficient Encoding Technology
Fault tolerance and state management in distributed stream processing
Big data ethics, privacy, and compliance
Innovative Applications of Data Mining in the Industrial and Financial Fields