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

https://bdbs2026.org/dmml/index 

 

 

DMML 2026 welcomes original, unpublished work that pushes the boundaries of theory, algorithms, systems, and applications. Submissions will undergo a rigorous peer review process, and accepted papers will be included in the conference proceedings.

 

DMML 2026 covers a broad spectrum of topics in data mining, machine learning, and knowledge discovery. We particularly encourage submissions that address cutting edge challenges, propose novel methodologies, or demonstrate impactful real world applications.

 

 

·         Theoretical foundations of data mining

·         Statistical learning theory

·         Optimization methods for ML

·         Causality and causal discovery

·         Explainable and interpretable AI

·         Fairness, accountability, transparency, and ethics

·         Robust and trustworthy ML

·         Uncertainty modeling and noise handling

 

·         Classification, regression, and clustering

·         Ensemble learning and hybrid models

·         Deep learning architectures (CNNs, RNNs, Transformers, GNNs)

·         Graph mining and graph ML

·         Reinforcement learning

·         Probabilistic and Bayesian models

·         Transfer learning, domain adaptation, multi task learning

·         Online learning and data stream mining

·         Federated and privacy preserving learning

·         Large scale and distributed data mining algorithms

 

·         Data cleaning, transformation, and pre processing

·         Feature engineering and feature selection

·         Data integration, fusion, and warehousing

·         ETL pipelines for ML systems

·         High performance and parallel computing

·         Edge, cloud, and distributed ML systems

·         Efficient model training, compression, and deployment

 

·         Frequent pattern and sequential pattern mining

·         Anomaly, outlier, and novelty detection

·         Temporal, spatial, and spatio temporal mining

·         Mining from incomplete or low quality data

·         Knowledge representation and reasoning

·         Knowledge graphs and semantic mining

 

 

·         Text, Language & Multimedia Mining

·         Natural language processing and text mining

·         Large language models and foundation models

·         Information retrieval and web mining

·         Social media and social network analysis

·         Image, video, and audio mining

·         Multimodal learning and cross media analysis

 

 

·         Visualization, Interaction & Human Centered AI

·         Interactive data exploration and visual analytics

·         Human AI collaboration and human in the loop ML

·         Interfaces and languages for data mining

·         Visualization of complex models and explanations

·         User centered evaluation of ML systems

 

·         Privacy preserving data mining (DP, MPC, FL)

·         Adversarial machine learning

·         Data security and information hiding

·         ML safety and risk assessment

·         Ethical and societal implications of AI

 

·         Bioinformatics, genomics, and computational biology

·         Biometrics and identity recognition

·         Healthcare and medical imaging

·         Finance, forecasting, and risk modeling

·         Education and learning analytics

·         Smart cities, IoT, and sensor data mining

·         Cybersecurity and fraud detection

·         E commerce and recommendation systems

·         Climate science and environmental modeling

 

 

·         Emerging Topics & Future Directions

·         Foundation models and general purpose AI

·         Autonomous systems and robotics

·         Quantum machine learning

·         Neuro symbolic AI

·         ML for scientific discovery

·         AI governance, policy, and global standards

·         Trends, opportunities, and risks in data mining & ML

 

Paper Submission

 

Authors are invited to submit papers through the conference Submission System by January 18, 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).

 

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

 

·         International Journal of Multimedia & Its Applications (IJMA) -

·         International Journal of Data Mining & Knowledge Management Process (IJDKP)

·         International Journal of Database Management Systems (IJDMS)- WJCI, Indexed

·         Machine Learning and Applications: An International Journal (MLAIJ)

·         International Journal of Web & Semantic Technology (IJWesT)

·         Advances in Vision Computing: An International Journal (AVC)

 

Important Dates

 

·         Submission Deadline: January 18, 2026

·         Authors Notification: March 14, 2026

·         Registration & camera - Ready Paper Due: March 21, 2026

 

Contact Us

 

Here's where you can reach us: dmml@bdbs2026.org  (or) dmmlconfee@yahoo.com 

 

Paper Submission Link: https://necom2026.org/submission/index.php