Predictive Visual Analytics Browser

Created by Yafeng Lu, Rolando Garcia, Brett Hansen, and Ross Maciejewski.

This browser was created by the VADER Lab at ASU to supplement our research into the state-of-the-art in predictive visual analytics. We collected thousands of papers from several prominent PVA publications and used these papers to guide the construction of a PVA pipeline model. The papers highlighted here show the results of our survey and categorization.

The design of our system was inspired by the Text Visualization Browser created by the ISOVIS Group.

How to cite:

Lu, Y., Garcia, R., Hansen, B., Gleicher, M. and Maciejewski, R. (2017), The State-of-the-Art in Predictive Visual Analytics. Computer Graphics Forum, 36: 539–562. doi:10.1111/cgf.13210