The 8th International Conference on Compute and Data Analysis (ICCDA 2024) covers topics such as:
- Data analytics, machine learning and knowledge discovery
- Learning for structured and relational data
- Learning for streaming data
- Mining multi-source and mixed-source information
- Latent semantics and insight learning
- Cross-media data analytics
- Mixed-type and structure data analytics
- Multimedia/stream/text/visual analytics
- Big data visualization, modeling and analytics
- Personalization analytics and learning
- Relation, coupling, link and graph mining
- Structure/group/community/network mining
- Web/online/social/network mining and learning
- Cloud computing and service data analysis
- Foundations
- Machine learning theories, models and systems
- Mathematical, probabilistic and statistical models and theories
- Manifold and metric learning
- Knowledge discovery theories, models and systems
- Scalable analysis and learning
- Deep learning
- Heterogeneous data/information integration
- Non-iidness learning
- Dimensionality reduction
- Data pre-processing, sampling and reduction
- Large scale optimization
- Feature selection, transformation and construction
- Architecture, management and process for data science
- High performance computing for data analytics
- Storage, retrieval and search
- Large-scale databases
- Data warehouses, cloud architectures
- Web/social/databases query and search
- Information and knowledge retrieval, and semantic search
- Human-machine interaction and interfaces
- Personalized search and recommendation
- Crowdsourcing and collective intelligence
The 8th International Conference on Compute and Data Analysis (ICCDA 2024) might be held in China in 2024.