IEEE International Conference on Data Mining 2026 (ICDM 2026)
IEEE
Shenyang, China
Abstract
The IEEE International Conference on Data Mining (ICDM) is the world's premier research conference in data mining, providing an international forum for sharing original research results and exchanging innovative development experiences. ICDM draws researchers, application developers, and practitioners from 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, the conference advances the state of the art in data mining.<grok:render type="render_inline_citation"><argument name="citation_id">85</ar
Keywords: Foundations & Theories; ML/DL & Statistical Methods; Heterogeneous Data Mining; Systems & Platforms; Modeling, Visualization & Recommendations; CPS & Complex Time-Evolving Networks; LLM-Driven; Novel Applications
Subject classification: CIP 11 Computer and Information Sciences and Support Services; ISCED-F 061 Information technology.
| Dates | |
|---|---|
| Duration | 4 days |
| Format | In person |
| Location | Shenyang, China |
| Host | IEEE |
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Registration, submission deadlines and the full programme are published by the organiser at icdm2026.neu.edu.cn.
