7th International Conference on Data Mining & Machine Learning (DMML 2026)

Program Committee

Accepted Papers

Copenhagen, Denmark

Scope

7^th International Conference on Data Mining & Machine Learning (DMML 2026) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Mining and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Data Mining and Machine Learning.

Call for Papers

7^th International Conference on Data Mining & Machine Learning (DMML 2026) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Mining and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Data Mining and Machine Learning.

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

Data mining foundations
Data Streams Mining
Graph Mining
Multimedia Data Mining
Parallel and Distributed Data Mining Algorithms
Pre-Processing Techniques
Security and Information Hiding in Data Mining
Spatial Data Mining
Text video
Visualization
Web Mining
Data mining Applications
Bioinformatics
Biometrics
Classification
Clustering
Databases
Educational Data Mining
Financial Modeling
Forecasting
Image Analysis
Social Networks
Knowledge Processing

Consistent Data Model
Consolidating and Explaining Discovered Knowledge
Data and Knowledge Representation
Evaluating
Exploring Data Analysis
Including Pre- and Post-Processing
Inference of Causes
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, Opportunities and Risks
OLAP and Data Mining
Prediction
Statistical Techniques for Generation a Robust
Machine learning
Deep Learning
Learning in knowledge-intensive systems
Learning Methods and analysis
Learning Problems
Machine Learning Applications

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 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 DMML 2026, after further revisions, will be published in the special issue of the following journals..

Important Dates

Submission Deadline

Authors Notification

Registration & camera - Ready Paper Due

Other Conferences

Past Events

Invited Talk

Proceedings

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

Welcome to DMML 2026