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

Name: 11th International Conference on Data Mining & Knowledge Management (DaKM 2026)
Start: 2026-11-21T10:00:00+00:00
End: 2026-11-22T17:00:00+00:00
Location: London

Schedule

Sat, 21 Nov, 2026 at 10:00 am to Sun, 22 Nov, 2026 at 05:00 pm

UTC+00:00

Location

London | London, EN

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

November 21 ~ 22, 2026, London, United Kingdom

https://aisc2026.org/dakm/index

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.

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).

Selected papers from DaKM 2026, after further revisions, will be published in the special issue of the following journal.