The 10th International Conference on Computing and Data Analysis (ICCDA 2026)

The 10th International Conference on Computing and Data Analysis (ICCDA 2026) serves as an international platform for academia and industry professionals to exchange ideas and advancements in computing and data analysis.

Key Topics

• 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