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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.
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