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Track 9: Data Science

 

Track 9: Data Science

 

Topics of interest include, but are not limited to:


Data mining
Machine learning and statistics
Modeling and forecasting
Dataset retrieval and search
Data cleaning
New visualization techniques for massive data
Business analytics
Large-scale data analytics
Large-scale computation
Optimization for big data
Provenance management and analytics
Reproducibility and transparency
Examples of application areas include, but are not limited to:
Finance
Marketing and advertising
Bioinformatics
Healthcare
Social sciences
Recommender platforms
Logistics
Transportation
Urban planning
Public safety and crime prevention
Resource management (energy, water, air quality, waste management)
Smart cities
Environmental protection
Telecommunications
Security