Welcome to ICDM 2026

The IEEE International Conference on Data Mining (ICDM) has established itself as the world's premier research conference in data mining. It provides an international forum for sharing original research results, as well as for exchanging and disseminating innovative and practical development experiences. The conference covers all aspects of data mining, including algorithms, software, systems, and applications.

ICDM draws researchers, application developers, and practitioners from a wide range of data mining-related areas, such as big data, deep learning, pattern recognition, statistical and machine learning, databases, data warehousing, data visualization, knowledge-based systems, high-performance computing, and large models. By promoting novel, high-quality research findings and innovative solutions to challenging data mining problems, the conference seeks to advance the state of the art in data mining.


NEW IN 2026 Applied Track — ICDM 2026 introduces a dedicated Applied Track welcoming papers on real-world deployed systems, interdisciplinary applications, new datasets, and comprehensive experimental analyses.
Deadline: June 6, 2026 View Call for Papers →

Topics of Interest

Topics of interest include, but are not limited to:

Foundations & Theories

Foundations, algorithms, models, and theory of data mining, including big data mining.

ML/DL & Statistical Methods

Machine learning, deep learning, and statistical methods for big data.

Heterogeneous Data Mining

Mining heterogeneous data sources, including text, semi-structured, spatio-temporal, streaming, graph, web, and multimedia data.

Systems & Platforms

Data mining systems and platforms for analyzing big data, including methods for parallel and distributed data mining, federated learning, and their efficiency, scalability, security, and privacy.

Modeling, Visualization & Recommendations

Data mining for modeling, visualization, personalization, and recommendation.

CPS & Complex Time-Evolving Networks

Data mining for cyber-physical systems and complex, time-evolving networks.

LLM-Driven

Data mining with large language models.

Novel Applications

Novel applications of data mining in data science, including big data analysis in social sciences, physical sciences, engineering, life sciences, climate science, web, marketing, finance, precision medicine, health informatics, and other domains.

We particularly encourage submissions in emerging topics of high importance, such as ethical data analytics, automated data analytics, data-driven reasoning, interpretable modeling, modeling with evolving environments, multi-modal data mining, and heterogeneous data integration and mining.

Shenyang — Where Heritage Meets Innovation

Shenyang is a city where deep historical roots meet a driving momentum for innovation — from its UNESCO-listed Imperial Palace to its thriving modern skyline, a destination of infinite dimensions awaits. We thank you for participating and look forward to seeing you in Shenyang, China!

News & Updates

Important Dates

  • Main Conference Full Paper Submission: June 6, 2026
  • Main Conference Author Notification: August 16, 2026
  • Workshop Paper Submission: August 20, 2026
  • Workshop Paper Notifications: September 20, 2026