Supporting Smart Exploratory Data Analysis
4 luglio 2019 alle 14:30
Via Celoria 18, Sala riunioni 8° piano
Speaker: Prof. Dr. X. Sean Wang, Fudan University, China
Persona di riferimento: Claudio Bettini
Data analysis is experiencing two changes: (1) The data used in analysis is changing from mostly domain-specific data to data from multiple, often unfamiliar, sources; (2) Data analysis practitioners are changing from only computer scientists or statisticians and other technical experts to experts in the application domains. Therefore, how to provide tools that will help users in their analysis tasks has become an important research issue. This talk will discuss the possibility in such tools that are collectively called an "exploratory data analysis system”, and report several preliminary attempts and related research questions.
Xiaoyang Sean Wang is Professor at the School of Compute Science of Fudan University. He earned his PhD degree in Computer Science from the University of Southern California in 1992. Before joining Fudan University in 2011, he was the Dorothean Chair Professor in Computer Science at the University of Vermont between 2003-2011 and Assistant/Associate Professor in the Department of Information and Software Engineering at George Mason University between 1992-2003. During 2009-2011, he served as a Program Director at the National Science Foundation in the Division of Information and Intelligent Systems. He has published widely in the general area of databases and information security, and was a recipient of the US National Science Foundation Research Initiation and CAREER awards. He is currently serving on the IEEE ICDE steering committee, as co-Editor in Chief of the Springer Data Science and Engineering journal, and on the editorial board of IEEE Transactions on Cloud Computing.