Welcome to DaKM 2024

9th International Conference on Data Mining & Knowledge Management (DaKM 2024)

September 21-22, 2024, Copenhagen, Denmark

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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Copenhagen, Denmark

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Scope Call for Participation Program Schedule

9th International Conference on Data Mining & Knowledge Management (DaKM 2024) will provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum.


Registered authors are now able to present their work through our online platforms

Call for Papers


9th International Conference on Data Mining & Knowledge Management (DaKM 2024) will provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum.

Authors 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 Closed . 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

Second Batch : (Submissions after July 20, 2024)

Submission Deadline

Closed

Authors Notification

September 19, 2024

Registration & camera - Ready Paper Due

September 20, 2024

Proceedings

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

Sponsors


Speakers


Alex Chen
US

Lezhi Wu
Basis International School Nanjing
China

Alexandr Silonosov
Blekinge institute of technology
Sweden

Omar Saad Almousa
Jordan University of Science and Technology
Jordan

Denis Béchet
Nantes University
France

Zexi Chen
United States

Jayden Szeto
United States

Paul Knowles
The Human Colossus Foundation
Switzerland

Anjun Chen
USA

Ewelina Szczekocka
Orange Polska S.a
Poland

Arlene Chang
US

Virginia Chambers
Point Park University
USA

Wenya Zhang
University College London
UK

YUAN CHENG
fairmont preparatory academy
China

Annabel Tu
Phillips Academy
USA