21st IEEE International Conference on Data Mining

Topics of interest

Topics of interest include, but are not limited to:

• Foundations, algorithms, models and theory of data mining, including big data mining.
• Deep learning and statistical methods for data mining.
• Mining from heterogeneous data sources, including text, semi-structured, spatio-temporal, streaming, graph, web, and multimedia data.
• Data mining systems and platforms, and their efficiency, scalability, security and privacy.
• Data mining for modelling, visualization, personalization, and recommendation.
• Data mining for cyber-physical systems and complex, time-evolving networks.
• Applications of data mining in social sciences, physical sciences, engineering, life sciences, web, marketing, finance, precision medicine, health informatics, and other domains.

Format of the conference

Due to the ongoing COVID-19 circumstances around the world, ICDM 2021 will be a virtual conference.

The full conference program is now available here.