26th IEEE International Conference on Data Mining (ICDM 2026)

The 26th IEEE International Conference on Data Mining (ICDM 2026) explores advanced techniques, algorithms, and applications for extracting knowledge from complex and large-scale data in diverse domains

Key Topics

• Big data mining and large-scale model analysis
• Deep learning and statistical approaches
• Mining heterogeneous data sources including text, graphs, and multimedia
• Data mining systems, platforms, and their scalability and security
• Applications in health informatics, finance, marketing, and engineering
• Visualization, personalization, and recommendation techniques
• Mining spatio-temporal, streaming, and cyber-physical data
• Time-evolving networks and complex system analysis
• Evaluation of advantages and limitations of data mining models
• Cross-domain applications in social and physical sciences

Who should Attend

• Data scientists and machine learning researchers
• Academics and students in computer science and statistics
• Engineers working on big data and AI systems
• Professionals in finance, healthcare, and marketing using data mining
• Developers and designers of data mining platforms and tools
• Cyber-physical system and network analysts
• Researchers in interdisciplinary applications of data mining