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
