Home EVENTS ICDM 2026 – 26th IEEE International Conference on Data Mining: Everything You...

ICDM 2026 – 26th IEEE International Conference on Data Mining: Everything You Need to Know

KEY FACTS
Date: 2026-11-12 to 2026-11-15
Location: Shenyang, China
Type: Conference
Website: icdm.zhonghuapu.com

What Is ICDM 2026?

The 26th IEEE International Conference on Data Mining (ICDM 2026) is the world’s premier research conference in the field of data mining. Organized under the auspices of the IEEE Computer Society, this annual event serves as the leading international forum for researchers, academics, and industry practitioners to present and discuss the latest innovations, theories, and applications in data mining. ICDM 2026 will be held from November 12 to November 15, 2026, in Shenyang, China, continuing a storied tradition of advancing the science and engineering of data-driven discovery.

ICDM 2026 matters because it sits at the intersection of foundational data mining research and emerging technological frontiers. The conference covers a comprehensive spectrum of topics including algorithms, deep learning, pattern recognition, statistical and machine learning, big data analytics, and—critically for the current AI landscape—large language models for data mining. As data volumes explode and AI models grow more sophisticated, ICDM provides the rigorous peer-reviewed platform where the next generation of data mining methodologies are first presented and validated.

Why It Matters for AI Professionals

For AI professionals, ICDM 2026 represents a unique opportunity to engage with the research that will shape production systems in the coming years. The conference’s focus on large language models for data mining is particularly timely, as organizations increasingly seek to harness LLMs for tasks ranging from automated feature engineering to natural language interfaces for data exploration. Attendees will gain exposure to cutting-edge work in deep learning architectures optimized for tabular data, scalable statistical methods for massive datasets, and novel pattern recognition techniques that push beyond current benchmarks.

Beyond the technical sessions, ICDM 2026 offers a direct line into the global data mining research community. Professionals will have the chance to network with the authors of influential papers, discuss implementation challenges with peers, and identify collaboration opportunities that bridge academic research and industrial application. The location in Shenyang, a major industrial and technological hub in Northeast China, also provides a strategic vantage point for understanding the rapidly evolving AI ecosystem in Asia.

What to Expect

ICDM 2026 will feature a robust program organized around its core research tracks. While the full schedule is to be announced, attendees can anticipate the following key components based on the conference’s established structure:

  • Research Track: Peer-reviewed paper presentations covering algorithms, deep learning, pattern recognition, statistical and machine learning, and big data analytics.
  • Special Focus on Large Language Models: Dedicated sessions exploring the integration of LLMs into data mining workflows, including prompt engineering for data tasks, LLM-based data augmentation, and interpretability of model-driven insights.
  • Workshops and Tutorials: In-depth sessions on specialized topics, ranging from foundational techniques to advanced methodologies. Specific workshop themes will be announced closer to the event.
  • Keynote Presentations: Invited talks from leading figures in data mining and AI research. Speaker names are to be announced.
  • Poster Sessions: Opportunities to engage with researchers one-on-one and discuss emerging work in an informal setting.

Who Should Attend

ICDM 2026 is designed for a broad audience within the data science and AI ecosystem. Primary attendees include academic researchers and faculty members working in data mining, machine learning, and related fields; PhD students seeking to present their work and receive feedback from senior researchers; data scientists and machine learning engineers in industry who want to stay abreast of the latest algorithmic advances; and research and development managers responsible for guiding AI strategy in their organizations. The conference is also highly relevant for professionals working in big data infrastructure, statistical consulting, and applied pattern recognition across domains such as finance, healthcare, e-commerce, and cybersecurity.

How to Register

Registration for ICDM 2026 will open on the official conference website. Pricing tiers—typically including early-bird rates for IEEE members, non-members, and students—are to be announced. Prospective attendees should visit icdm.zhonghuapu.com for the most current information on registration deadlines, fees, and accommodation details. Given the conference’s status as the premier event in data mining, early registration is recommended to secure attendance at workshops and tutorials, which often have limited capacity.

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David Miller
David Miller is an esteemed independent researcher and writer, widely recognized for his incisive contributions to the critical fields of AI ethics and governance. His published works, ranging from journal articles to popular online essays, consistently spark crucial discussions on the responsible design, deployment, and oversight of artificial intelligence technologies. David often examines complex issues such as algorithmic bias, accountability frameworks for autonomous systems, and the implications of AI for human rights and democratic values. He is a passionate advocate for developing robust ethical guidelines and regulatory policies that can ensure AI serves humanity's best interests, always emphasizing a proactive approach to managing AI's societal impact.