13th International Conference on Data Mining (DaMi 2027)

13th International Conference on Data Mining (DaMi 2027) is a conference that explores advances in data mining and knowledge discovery, focusing on machine learning, graph analytics, scalable data systems, and responsible AI techniques applied across complex real-world domains.

Key Topics

• Machine learning and generative AI foundations
  • Supervised, unsupervised, and semi-supervised learning methods
  • Deep learning architectures and representation learning
  • Retrieval-augmented generation and foundation models
• Graph, network, and structured data mining
  • Graph neural networks and graph transformers
  • Knowledge graph construction and reasoning
  • Temporal and heterogeneous graph analysis
• Multimodal and text-driven data mining
  • NLP and text mining with LLM-driven analytics
  • Multimedia fusion across image, video, and audio data
  • Social media mining and behavioral analysis
• Scalable and distributed data systems
  • Cloud-native and big data processing pipelines
  • Streaming, real-time, and edge analytics
  • GPU-accelerated and parallel computing frameworks
• Responsible, secure, and trustworthy AI
  • Fairness, bias detection, and explainable AI
  • Privacy-preserving learning and federated systems
  • Adversarial robustness and AI safety mechanisms
• Data-centric AI and knowledge engineering
  • Data quality, cleaning, and labeling techniques
  • Knowledge representation and ontology integration
  • Synthetic data generation and model evaluation

Who should attend

• Data scientists and machine learning researchers
• AI engineers and software developers
• Computer science academics and PhD students
• Industry professionals in data analytics and AI systems
• Researchers in responsible AI and data governance
• Practitioners applying data mining in applied domains