Naiyu Yin, Hanjing Wang, et al.
CVPR 2026
The NameVoyager, a Web-based visualization of historical trends in baby naming, has proven remarkably popular. We describe design decisions behind the application and lessons learned in creating an application that makes do-it-yourself data mining popular. The prime lesson, it is hypothesized, is that an information visualization tool may be fruitfully viewed not as a tool but as part of an online social environment. In other words, to design a successful exploratory data analysis tool, one good strategy is to create a system that enables "social" data analysis. We end by discussing the design of an extension of the NameVoyager to a more complex data set, in which the principles of social data analysis played a guiding role. © 2006 IEEE.
Naiyu Yin, Hanjing Wang, et al.
CVPR 2026
Haoran Liao, Derek S. Wang, et al.
Nature Machine Intelligence
Guillaume Buthmann, Tomoya Sakai, et al.
ICASSP 2025
Sören Bleikertz, Carsten Vogel, et al.
ACSAC 2014