11th International Conference on Data Mining (DaMi 2025)

Scope & Topics Call for Participation Program Schedule

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:

Foundations of Data Mining

Data Mining Techniques and Approaches (Classification, Clustering, Association Rule Mining, Regression Analysis, Dimensionality Reduction, Ensemble Learning)
Algorithm Design and Development
Scalability and Efficiency
Pattern Discovery

Applications of Data Mining

Healthcare and Bioinformatics
Finance and Economics
Marketing and E-Commerce
Social Media and Networks
Manufacturing and Industry
Cybersecurity

Data Preprocessing

Data Cleaning
Feature Selection and Engineering
Normalization and Standardization
Data Integration

Advanced Data Mining

Deep Learning
Graph Mining
Text Mining
Time Series Mining
Spatial Data Mining
Stream Data Mining

Evaluation and Validation

Model Evaluation
Mining Evaluation Metrics
Overfitting and Underfitting

Knowledge Discovery and Knowledge Representation

Interpretability and Explainability
Visual Data Mining
Knowledge Representation

Data Mining Systems and Software

Software Tools and Platforms
Distributed and Parallel Data Mining
Big Data Mining
Real-time Data Mining

Privacy, Security, and Ethical Issues

Privacy-preserving Data Mining
Data Anonymization
Security Issues in Data Mining
Ethical Concerns

Multimedia and Complex Data Mining

Multimedia Data Mining
Multimodal Data
Sensor Data Mining

Big Data and Cloud Computing

Big Data Analytics
Cloud-based Data Mining

Evolutionary and Hybrid Approaches

Evolutionary Algorithms
Hybrid Models

Data Mining for Decision Support and Knowledge Management

Decision Support Systems (DSS)
Business Intelligence and Analytics
Knowledge Management

Data mining Emerging Trends

Artificial Intelligence and Data Mining
Quantum Computing and Data Mining
Explainable AI (XAI)

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).

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