Track 4: Data Science & Advanced Analytics

Track Co-chair(s):
1. Simon James Fong, University of Macau, China
2. Gulmina Rextina , COMSATS University Islamabad (CUI), Pakistan

The topics of interest include (but not limited to) the following:

• Mathematical, probabilistic and statistical models and theories for Data Science
• Data science meets social science
• Data science education and training practices and lessons
• Data science Applications in various domains
• Machine learning theories, models and systems
• Knowledge discovery theories, models and systems
• Structured and unstructured learning
• Deep learning and deep analytics
• Big data visualization, modeling and analytics
• Crowdsourcing and collective intelligence
• Security, trust and risk in big data
• Structure/group/community/sentiment mining
• Feature selection, transformation and construction
• Web Analytics
• Experimental Design