AI-Driven Data Mining and Analytics for Intelligent Systems (AIDMAIS 2026)
Recent advances in artificial intelligence, data mining, and advanced analytics are rapidly transforming the development of intelligent systems across a wide range of domains, including healthcare, smart cities, finance, cybersecurity, and industrial applications.
The increasing availability of large-scale, heterogeneous, and multimodal data presents both significant opportunities and critical challenges for extracting actionable knowledge and enabling effective decision-making.
This Special Session aims to provide a forum for researchers, practitioners, and industry experts to present and discuss novel methodologies, models, and systems that leverage data mining, machine learning, and advanced analytics to support intelligent, data-driven applications.
The session particularly emphasizes data-centric AI, advanced learning paradigms, and scalable analytics techniques for complex and real-world data environments. Contributions that bridge theoretical advances and practical deployments, and demonstrate scalability, interpretability, and real-world impact, are especially encouraged.
Topics of Interest
- Data mining and knowledge discovery
- Machine learning and deep learning
- Graph-based learning and network analytics
- Reinforcement learning and intelligent decision systems
- Big data and scalable analytics
- Multimodal data analytics (vision, text, signals)
- Intelligent systems and data-driven architectures
- Explainable and trustworthy AI
- Privacy-preserving data analytics
- Real-world AI applications (healthcare, smart cities, finance, IoT)
Submission Guideline
https://kse2026.kse-conferences.org/call-for-papers/
Special Session Organizers
Assoc. Prof. Loan T.T. Nguyen
International University, VNU-HCM, Vietnam
Email: nttloan@hcmiu.edu.vn
Research interests: data mining, graph mining, machine learning, artificial intelligence, intelligent healthcare systems
Assoc. Prof. Bay Vo
HUTECH University, Ho Chi Minh City, Vietnam
Email: vd.bay@hutech.edu.vn
Research interests: association rules, classification, distributed databases, privacy-preserving
data mining, social network analysis