Welcome to DaKM 2026

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

November 21 ~ 22, 2025, 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

11th International Conference on Data Mining & Knowledge Management (DaKM 2026) will provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum.

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Call for Papers


16th International Conference on Data Mining & Knowledge Management (DaKM 2026) will provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum.

AAuthors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.

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


  • Data Mining Foundations
  • Biometrics
  • Clustering
  • Data Mining Applications
  • Data Streams Mining, Graph Mining
  • Databases, Bioinformatics
  • Educational Data Mining
  • Financial Modeling
  • Forecasting, Classification
  • Image Analysis
  • Multimedia Data Mining, Web Mining
  • Parallel and Distributed Data Mining Algorithms
  • Pre-processing Techniques, Visualization
  • Security and Information Hiding in Data Mining
  • Social Networks
  • Spatial Data Mining, Text Video
  • Knowledge Processing
  • Consistent Data Model
  • Consolidating, and Explaining Discovered Knowledge
  • Data and Knowledge Representation
  • Exploring Data Analysis, Inference of Causes
  • Including Pre- and Post-processing
  • Integrating Constraints and Knowledge in the KDD Process
  • Integration of Data Warehousing
  • Interactive Data Exploration/visualization and Discovery
  • Knowledge Discovery Framework and Process
  • Languages and Interfaces for Data Mining
  • Mining from Low-Quality Information Sources
  • Mining Trends
  • OLAP and Data Mining
  • Opportunities and Risks
  • Prediction, Evaluating
  • Statistical Techniques for Generation a Robust

Paper Submission

Authors are invited to submit papers through the conference Submission System by . 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

Authors Notification

Registration & camera - Ready Paper Due

Proceedings

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

Sponsors