SIAM International Conference on Data Mining (SDM 2026)

The SIAM International Conference on Data Mining (SDM 2026) explores innovative methods, algorithms, and applications in data mining, addressing emerging technologies, ethical considerations, and practical uses across diverse fields.

Key Topics

• Applications
  • Automation & process control
  • Astronomy & astrophysics
  • Customer relationship management
  • Climate / ecological / environmentalscience
  • Drug discovery
  • Data science
  • Genomics & bioinformatics
  • Finance
  • High energy physics
  • Healthcare management
  • Internet of things
  • Intelligence analysis
  • Logistics management
  • Intrusion & fraud detection
  • Risk management
  • Recommendation
  • Supply chain management
  • Social network analysis
  • Other emerging applications
• Methods and Algorithms
  • Big data & large-scale systems
  • Anomaly & outlier detection
  • Clustering & unsupervised learning
  • Classification & semi-supervised learning
  • Deep learning & representation learning
  • Data cleaning & integration
  • Feature extraction, selection, and dimensionality reduction
  • Pattern mining
  • Mining graphs & complex data
  • Mining data streams
  • Mining semi structured Data
  • Mining on emerging architectures & data clouds
  • Mining text, web & social media
  • Mining spatial & temporal Data
  • Optimization methods
  • Online algorithms
  • Probabilistic & statistical methods
  • Parallel and distributed methods
  • Other novel methods
  • Scalable & high-performance mining
• Human Factors and Social Issues
  • Intellectual ownership
  • Ethics of data mining
  • Privacy and fairness models
  • Interestingness & relevance
  • Risk analysis and risk management
  • Privacy preserving data mining
  • User interfaces and visual analytics
  • Transparency and algorithmic bias
  • Other human and social issues