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

DMML 2026

URL: https://bdbs2026.org/dmml/index
Event Date: 2026-04-24 ~ 2026-04-25
Submission Date: 2026-01-10
Organizer: DMML 2026
Location: Copenhagen, Denmark

Data Mining & Analysis Databases & Information Systems

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

April 25 ~ 26, 2026, Copenhagen, Denmark

https://bdbs2026.org/dmml/index

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 January 10, 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 The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).