8th International Conference on Data Mining and Big Data (DMBD 2023)

  • 2023

Description

Topics
  • Algorithms
    • Feature grouping, discretization,selection, transform
    • Visualization
    • Frequent pattern mining
    • Featurelearning
    • Learning for handwriting recog
    • Adaptive control
    • Financial data
    • Learning in image
    • Subspace methods
    • Mining motion from sequence
    • Sequential pattern mining
    • Support vector machines
    • Graph mining
    • Desirabilities
    • Agent data mining
  • Theories
    • Mining media data
    • Data mining systems
    • Case-based reasoning
    • Recommendation
    • Clustering
    • Similarity-based reasoning
    • Prediction
    • Classification
    • Experimentation strategy
    • Association rules
    • Deviation and novelty detection
    • Capability indices
    • Conception learning
    • Control charts
    • Sampling methods
    • Inductive learning
    • Statistical learning
    • Similarity measures
    • Bayesian learning
  • Applications
    • Marketing
    • Immune systems
    • Biotechnology
    • Medicine
    • Multimedia data
    • Quality manage
    • Agriculture
    • Intrusion detection
    • Finance
    • Meteorology
    • Deep neural nets
    • Legal informatics Social media
    • Reinforcement
    • Proba. reasoning
    • Fuzzy logic
    • Supervised learning
    • Applications in data mining and big data
    • Game theory
    • Challenges in data mining and big data
  • Big Data
    • Algorithms
    • Foundational models for big data
    • Big data analytics Big data metrics
    • Data processing
    • Cloud computing techniques
    • Multimedia data
    • Mobile/pervasive computing
    • Big data for service
    • Provenance control
    • Big data quality
    • Big data encryption
    • Privacy preserving
    • Collaborative Threat detection
    • Anomaly detection
    • Machine learning based on big data
    • Algorithms
    • Big data analytics
    • Visualization
    • Big data in business performance

Past Events

Important

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Event Categories

Science: Computer Science
Technology: Data management

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