4th International Conference on Data Mining, Big Data and Machine Learning (DBML 2026)

4th International Conference on Data Mining, Big Data and Machine Learning (DBML 2026)

March 30 ~ 31, 2026, Virtual Conference

https://dbml2026.org/index
Scope

The 4th International Conference on Data Mining, Big Data and Machine Learning (DBML 2026) serves as a premier international forum for researchers, practitioners, and industry experts to exchange knowledge, discuss breakthroughs, and explore emerging trends in the rapidly evolving fields of Data Mining, Big Data, and Machine Learning. As data continues to grow in scale, complexity, and impact, DBML 2026 provides a vital platform for presenting innovative theories, advanced methodologies, and practical applications that address the challenges and opportunities of data driven intelligence.

The conference welcomes contributions that span foundational research, algorithmic innovation, system design, and real world deployments. Authors are invited to submit high quality articles that present original research results, novel project developments, comprehensive survey studies, and industrial experiences demonstrating significant advances in the domain.

Topics of interest

Foundations of Data Mining & Machine Learning

• Theoretical foundations of ML and data mining
• Algorithms and models for large scale data analysis
• Optimization methods for ML
• Statistical and probabilistic modeling
• Causal inference and causal discovery
• Data centric AI and dataset engineering
• Benchmarking, evaluation, and reproducibility

Deep Learning, Representation Learning & Generative Models

• Deep learning architectures and methods
• Self supervised, semi supervised, and unsupervised learning
• Representation learning for structured and unstructured data
• Generative AI and foundation models
• Multimodal learning and cross domain integration
• Transfer learning, meta learning, and continual learning
• Reinforcement learning and sequential decision making

Big Data Systems, Platforms & Infrastructure

• Scalable, distributed, and parallel data mining
• Big data platforms, cloud, edge, and fog computing
• Big data management, indexing, and retrieval
• Real time analytics, stream processing, and event mining
• 5G/6G, networking, and distributed systems for big data
• High performance data processing systems

Mining Complex, Heterogeneous & High Dimensional Data

• Text, graph, temporal, spatial, and streaming data mining
• Web, social media, and multimedia mining
• Graph mining, network science, and graph neural networks
• Knowledge discovery and knowledge graphs
• Personalization, recommendation, and user modeling
• Visualization and human centered analytics

Trustworthy, Secure & Privacy Preserving Data Analytics

• Privacy preserving data mining and federated analytics
• Differential privacy, secure computation, and encryption
• Trustworthy, robust, and explainable ML
• Bias, fairness, and responsible data mining
• Big data security, governance, and compliance
• Adversarial ML and model robustness

Applications of Data Mining, Big Data & Machine Learning

• Bioinformatics, healthcare, and life sciences
• Finance, e commerce, and business intelligence
• Cybersecurity, fraud detection, and threat analytics
• IoT, smart cities, and sensor networks
• Climate, sustainability, and environmental analytics
• Industrial case studies and real world deployments

Paper Submission

Authors are invited to submit papers through the conference Submission System by March 21, 2026(Final Call). 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 International Journal on Cybernetics & Informatics (IJCI) (Confirmed).

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

• The International Journal of Database Management Systems (IJDMS)
• International Journal of Data Mining & Knowledge Management Process (IJDKP)
• Machine Learning and Applications: An International Journal (MLAIJ)
• Signal & Image Processing : An International Journal (SIPIJ)

Important Dates
3rd Batch: January 31, 2026
• Submission Deadline :March 21, 2026(Final Call)
• Authors Notification:March 28, 2026
• Registration & camera - Ready Paper Due:March 30, 2026
Contact Us

Here's where you can reach us : [email protected] or [email protected]