International Conference on Data Science and Advanced Analytics ICDSAA on June 14-15, 2026 in Montreal, Canada

Best practices and lessons
Data-intensive organizations, business and economy
Domain-specific applications
Business/government analytics
Online/social/living/environment data analysis
Mobile analytics for hand-held devices
Quality assessment and interestingness metrics
Complexity, efficiency and scalability
Anomaly/fraud/exception/change/event/crisis analysis
Large-scale recommender and search systems
Big data representation and visualization
Large scale application case studies
New mathematical, probabilistic and statistical models and theories
New machine learning theories, models and systems
New knowledge discovery theories, models and systems
Manifold and metric learning, deep learning
Scalable analysis and learning
Non-iidness learning
Heterogeneous data/information integration
Data pre-processing, sampling and reduction
High dimensional data, feature selection and feature transformation
Large scale optimization
High performance computing for data analytics
Architecture, management and process for data science
Learning for streaming data
Learning for structured and relational data
Intent and insight learning
Mining multi-source and mixed-source information
Mixed-type and structure data analytics
Cross-media data analytics
Big data visualization, modeling and analytics
Multimedia/stream/text/visual analytics
Relation, coupling, link and graph mining
Personalization analytics and learning
Web/online/social/network mining and learning
Structure/group/community/network mining
Cloud computing and service data analysis