Call for Workshops

Aims and Scope

The 26th IEEE International Conference on Data Mining (IEEE ICDM 2026) will include half- or full-day workshops that complement the main conference technical program, with the goal of expanding new directions and applications of data mining for both practitioners and researchers in a particular field. These workshops provide a more focused, in-depth venue for presentations, discussions and interaction. Each workshop will solicit papers (max 8 pages plus 2 extra pages) for peer review. Furthermore, as in previous years, papers that are not accepted by the main conference will be automatically sent to a workshop selected by the authors when the papers were submitted to the main conference. By ICDM tradition, all accepted workshop papers will be published in the dedicated ICDMW proceedings published by the IEEE Computer Society Press. At least one of the workshop chairs must register and attend ICDM 2026 in person.

Workshops

Below is the list of accepted workshops that will take place at ICDM 2026.

Group 1: Data Mining Foundations and Applied Analytics

  • HDM-2026: The 13th ICDM Workshop for High Dimensional Data Mining

  • SSTDM-2026: IEEE ICDM 21st International Workshop on Spatial and Spatiotemporal Data Mining

  • DMS-2026: International Workshop on Data Mining for Service

  • WAIP(formerly WAIN): IEEE ICDM International Workshop on AI for Personalization (WAIP), with continued coverage of nudging-related topics

  • DLC-2026: Deep Learning and Clustering

  • SENTIRE: Sentiment Elicitation from Natural Text for Information Retrieval and Extraction

  • DMBIH: Data Mining in Biomedical Informatics and Healthcare

Group 2: Foundation Models and Advanced Learning

  • PM4CLUSTER: Clustering in the Age of Pretrained Models

  • LM4TED: Large Models for Time Series Data Mining

  • LLM4MDF: Workshop on Large Language Models for Multimodal Data Fusion

  • LLMTenA-2026: LLM for Tensor Analysis & Tensor for LLM Advancement

  • GNN-LLM-SYN: GNN-LLM Synergy for Advanced Reasoning and Structural Knowledge Modeling

  • IncrLearn: Incremental and Continual Learning in the Age of Large-Scale AI

Group 3: Trustworthy and Secure Machine Learning

  • TrustRS: Trustworthy Recommender Systems across Learning, Relearning, and Unlearning

  • STFG: Secure and Trustworthy Federated Generative AI

  • ARRL: International Workshop on Adaptable, Reliable, and Responsible Learning

  • MLC: Machine Learning for Cybersecurity (MLC) Workshop

  • TML4DM: Workshop on Trustworthy Machine Learning for Fair, Private, Robust, and Explainable Decision-Making

  • DM-AISC-2026: Data Mining for Ambient Intelligence and Secure Communications

Group 4: AI for Science, Biology, and Healthcare

  • ADSD: The 2nd Workshop on AI-ready Data for Science Discovery

  • AI4S-Bench-2026: The 1st International Workshop on AI-for-Science Benchmarking

  • BioFM-2026: The 2nd International Workshop on Foundation Models for Biology and Bioinnovation

  • MHSM: The 2nd Workshop on Mental Health Disorder Detection on Social Media

  • PM4B-2026: 2nd Workshop on Pattern mining and Machine learning for Bioinformatics

  • MedTSFM: The International Workshop on Medical Time Series Analytics and Foundation Models

Group 5: Adaptive, Evolving, and Autonomous Intelligence

  • HDAI: Human Dynamics and Mobility Analytics in Agentic AI Era

  • OWAD: Open World Anomaly Detection in Dynamic and Evolving Environments

  • EvoGraphDM: 1st IEEE ICDM Workshop on Evolving Graph Data Mining and Continual Relational Learning

  • EDMML: Workshop on Evolutionary Data Mining and Machine Learning

  • OEDM-2026: Workshop on Optimization Based Techniques for Emerging Data Mining Problems

  • WMAI: Workshop on World Models and Autonomous Intelligence for Data Mining

Group 6: Applied Data Intelligence and Smart Systems

  • MIDAS: Multimodal Data Mining for Sustainable Agriculture

  • UIM3-2026: Urban Intelligence and Multimodal Mobility Mining

  • KD-ISAC: Workshop on Knowledge Discovery in Integrated Sensing and Communication

  • D2AI: The 1st International Workshop on Data & Database Systems for Modern AI

  • TrustFL-SIS: Trustworthy Federated Learning for Smart Industrial Systems

Key Dates

  • Workshop proposal submissions: March 14, 2026

  • Workshop proposal acceptance notifications: April 11, 2026

  • Workshop papers submission: August 20, 2026

  • Notification of workshop papers acceptance to authors: September 20, 2026

  • Camera-ready deadline and copyright form: TBA

All times are at 11:59PM AOE (Anywhere on Earth)

Submission Guidelines

All workshop papers should be submitted electronically through the ICDM 2026 submission system:https://wi-lab.com/cyberchair/2026/icdm26/scripts/ws_submit.php?subarea=S. Please ensure you choose the correct workshop name when submitting.

Workshop Chairs

For any questions, please contact Alexander Zhou, Wenjie Zhang, Phi Le Nguyen at icdm2026wksp@gmail.com.