Welcome to DaKM 2026

11th International Conference on Data Mining & Knowledge Management (DaKM 2026)

November 21 ~ 22, 2026, London, United Kingdom

Hybrid--Registered authors can present their work online or face to face New

Program Committee

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Accepted Papers

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Toronto, Canada

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Scope

The 11th International Conference on Data Mining & Knowledge Management (DaKM 2026) provides a premier international forum for researchers, practitioners, and industry innovators to present and discuss the latest advances in data mining, knowledge discovery, and intelligent information systems. As data continues to grow in scale, complexity, and impact, the need for robust methodologies, scalable algorithms, and trustworthy AI systems has never been more critical. DaKM 2026 brings together leading experts who address these challenges through cutting edge research, real world applications, and emerging technologies shaping the future of data driven intelligence.

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Call for Papers


Authors are invited to submit high quality articles describing original research results, innovative projects, comprehensive survey works, and industrial experiences that demonstrate significant contributions to the theory, methodology, and practice of data mining and knowledge management.

DaKM 2026 welcomes contributions that push the boundaries of current knowledge, introduce novel perspectives, or demonstrate impactful applications across science, industry, and society. The conference aims to foster collaboration, inspire innovation, and advance the global research community working at the intersection of data mining and knowledge management.

Topics of interest include, but are not limited to, the following


  • Foundations of Data Mining and Statistical Learning
  • Causal Discovery, Reasoning and Uncertainty Modeling
  • Large Language Models, Foundation Models and RAG
  • Generative AI, Synthetic Data and AI Native Mining
  • Deep Learning, Representation Learning and Self Supervised Methods
  • Graph Mining, GNNs and Graph Foundation Models
  • Time Series Mining, Transformers and State Space Models
  • Spatio Temporal, Streaming and Real Time Data Mining
  • Agentic AI, Autonomous Systems and AI Driven Pipelines
  • Security, Privacy, Federated Learning and Trustworthy AI
  • Adversarial Mining, Robustness, Alignment and AI Safety
  • Web Scale Mining, Neural Retrieval and Vector Databases
  • Knowledge Graphs, Semantic Mining and Neuro Symbolic AI
  • Human Centered AI, Social Computing and Behavior Modeling
  • Bioinformatics, Clinical AI and Scientific Discovery
  • IoT, Cyber Physical Systems and Sensor Data Mining
  • MLOps, DataOps, Efficient ML and Hardware Aware Mining
  • High Performance Data Management and Scalable Mining Systems
  • Interactive Exploration, Visualization and Pattern Explanation

Paper Submission

Authors are invited to submit papers through the conference Submission System by August 22, 2026 . Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Important Dates

Submission Deadline

August 22, 2026

Authors Notification

October 24, 2026

Registration & camera - Ready Paper Due

October 31, 2026

Proceedings

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library

Sponsors