Call for Papers

Artificial Intelligence

including the following topics but not limited to

  • Artificial Intelligence
  • Biometric Identification
  • Biocomputing and Bioinformatics
  • Computational Intelligence
  • Cognitive Processing
  • Computer Vision
  • Deep learining
  • Document Recognition and Understanding
  • Humanoid Robot
  • Intelligent Information Processing
  • Intelligent Modeling and Control Theory
  • Intelligent Vehicle
  • Intelligent Video Surveillance
  • Machine Learning
  • Mass Information Processing
  • Multimedia Information Processing
  • Nature Language Processing
  • Nonlinear System
  • Pattern Recognition
  • Quantum Computation and Quantum Information
  • Space Robot
  • Speech and Character Recognition
  • Signal Processing
  • Unmanned Aircraft
  • Word Recognition
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Data Mining

including the following topics but not limited to

  • Abnormality and data detection
  • Algorithms for new, structured, data types, such as arising in chemistry, biology, environment, and other scientific domains
  • Big data analytic and High performance implementations of data mining algorithms
  • Developing a unifying theory of data mining
  • Distributed data mining and mining multi-agent data
  • Mining high speed data streams
  • Mining in networked settings: web, social and computer networks, and online communities
  • Mining sequences and sequential data
  • Mining sensor data
  • Mining spatial and temporal datasets
  • Mining textual and unstructured datasets
  • Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
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Machine Learning

including the following topics but not limited to

  • Active learning
  • Computational learning theory
  • Distance measurement learning
  • Deep learning
  • Incremental learning and online learning
  • Integrated learning
  • Limit learning
  • Machine learning new theory
  • Manifold learning
  • Multi - task learning
  • Multi - sign learning
  • Reinforcement learning
  • Manifold learning
  • Semi-supervised learning
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2019 International Conference on Data Mining and Machine Learning