11th International Conference on Data Mining (DaMi 2025)

Scope & Topics

11^th International Conference on Data Mining (DaMi 2025) Conference 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 areas of Data Mining and Knowledge Management Process.

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

Bioinformatics
Biometrics
Classification
Clustering
Consistent Data Model
Consolidating
Data and Knowledge Representation
Data Mining Applications
Data Mining Foundations
Data Streams Mining, Graph Mining
Databases
Educational Data Mining
Evaluating
Explaining Discovered Knowledge
Exploring Data Analysis
Financial Modeling
Forecasting
Imge 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
Knowledge Processing
Languages and Interfaces for Data Mining
Mining From Low-Quality Information Sources
Mining Trends
Multimedia Data Mining
OLAP and Data Mining
Opportunities and Risks
Parallel and Distributed Data mining Algorithms
Prediction
Pre-processing Techniques
Security and Information Hiding in Data Mining
Social Networks
Spatial Data mining, Text Video
Statistical Techniques for Generating a Robust
Visualization
Web Mining

Paper Submission

Authors are invited to submit papers through the conference Submission System by February 15, 2025 .

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).

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