Data Analytics and Artificial Intelligence

Topics of interest include, but are not limited to:

Data and text mining for business analytics
Business applications of A.I techniques
Influences of A.I on human behavior
Healthcare analytics
Web mining and social network analysis
Computational social science
Text analysis for consumer research
Network analysis for open source software development
Best practices in data analytics
Methodologies and processes for data analytics and A.I techniques

Track Co-Chairs:

Hong Joo Lee,, Catholic University of Korea
Habin Lee,, Brunel University London

Track AEs:

Jaewon Choi, Soonchunghyang University
Youngseok Choi, Brunel University London
Jinghua Huang, Tsinghua University
Jongwoo Kim, Hanyang University
Ohbyung Kwon, Kyunghee University
Sang-Yong Tom Lee, Hanyang University
Hongyan Liu, Tsinghua University
Hyungjong Na, SungKyunKwan University
Hyelim Oh, National University of Singapore
Hyunjung Park, Ewha Womans University
Sankar Sivarajah, University of Bradford