Conference details
Call for Papers
7th 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
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