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2nd International Conference on Data Mining, Neural Networks and Deep Learning (DMNNDL 2024)

2nd International Conference on Data Mining, Neural Networks and Deep Learning (DMNNDL 2024)

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The 2nd International Conference on Data Mining, Neural Networks and Deep Learning (DMNNDL 2024) covers topics such as: Neural Networks Hebbian theory, Convolutional neural networks, Residual neural networks, Long short term memory, Biological neural networks, Self-organizing feature maps, Feedforward neural networks, Cellular neural networks, Multilayer perceptrons, Extreme learning machines, Multi-layer neural network, Graph neural networks, Radial basis function networks, Neural network hardware, Hopfield neural networks, Recurrent neural networks, Data Mining Image data mining, Data processing, Human, domain, organizational, Agent-based data mining, Scalable data preprocessing, And social factors in data mining, Methodologies on large-scale data mining, Parallel and distributed data mining algorithms, Novel models and algorithms, High performance data mining algorithms, Opinion mining and sentiment analysis, OLAP and data mining, And cloud-based high performance data mining, Parallel, distributed, Statistical methods for data mining, Privacy preserving data mining, Feature extraction and selection, Visual data mining, Data mining systems in finance and e-commerce, Competitive analysis of mining algorithms, Web mining, Text data mining, Multimedia data mining, Video data mining, Deep Learning Evolutionary Methods, Neuro-Fuzzy Algorithms, Deep Hierarchical Networks (DHN), Convolutional Neural Networks (CNN), Deep Boltzmann Machines, Unsupervised Feature Learning, Deep Metric Learning Methods, Generative Adversarial Networks (GAN), Learning Deep Generative Models, Deep Reinforcement Learning, Active learning, Graph Representation Learning, Manifold learning, Agent-based learning, Statistical models and learning, Multi-task learning, Evolutionary algorithms and learning, Computational learning, Parallel and distributed learning, Fuzzy logic-based learning, Deep Learning for Computing and Network Platforms

Profile Details
Full Name
2nd International Conference on Data Mining, Neural Networks and Deep Learning (DMNNDL 2024)
Start Date
2024-10-25
End Date
2024-10-27
Place Name
Chengdu
Street
City
Chengdu
Region
Country
CN
Address
Chengdu, China
Organization
International Society for the Advancement of Cytometry (ISAC)
Performers
Speakers or Exhibitors
Industry

The 2nd International Conference on Data Mining, Neural Networks and Deep Learning (DMNNDL 2024) covers topics such as:

  • Neural Networks
    • Hebbian theory
    • Convolutional neural networks
    • Residual neural networks
    • Long short term memory
    • Biological neural networks
    • Self-organizing feature maps
    • Feedforward neural networks
    • Cellular neural networks
    • Multilayer perceptrons
    • Extreme learning machines
    • Multi-layer neural network
    • Graph neural networks
    • Radial basis function networks
    • Neural network hardware
    • Hopfield neural networks
    • Recurrent neural networks
  • Data Mining
    • Image data mining
    • Data processing
    • Human, domain, organizational
    • Agent-based data mining
    • Scalable data preprocessing
    • And social factors in data mining
    • Methodologies on large-scale data mining
    • Parallel and distributed data mining algorithms
    • Novel models and algorithms
    • High performance data mining algorithms
    • Opinion mining and sentiment analysis
    • OLAP and data mining
    • And cloud-based high performance data mining
    • Parallel, distributed
    • Statistical methods for data mining
    • Privacy preserving data mining
    • Feature extraction and selection
    • Visual data mining
    • Data mining systems in finance and e-commerce
    • Competitive analysis of mining algorithms
    • Web mining
    • Text data mining
    • Multimedia data mining
    • Video data mining
  • Deep Learning
    • Evolutionary Methods
    • Neuro-Fuzzy Algorithms
    • Deep Hierarchical Networks (DHN)
    • Convolutional Neural Networks (CNN)
    • Deep Boltzmann Machines
    • Unsupervised Feature Learning
    • Deep Metric Learning Methods
    • Generative Adversarial Networks (GAN)
    • Learning Deep Generative Models
    • Deep Reinforcement Learning
    • Active learning
    • Graph Representation Learning
    • Manifold learning
    • Agent-based learning
    • Statistical models and learning
    • Multi-task learning
    • Evolutionary algorithms and learning
    • Computational learning
    • Parallel and distributed learning
    • Fuzzy logic-based learning
    • Deep Learning for Computing and Network Platforms

The 2nd International Conference on Data Mining, Neural Networks and Deep Learning (DMNNDL 2024) will be held in Chengdu, China on 25-27 Oct 2024.

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